{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# Interval-related Analysis"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "This example can be referenced by [citing the package](https://neuropsychology.github.io/NeuroKit/cite_us.html).\n",
                "\n",
                "This example shows how to use NeuroKit to analyze longer periods of data (i.e., greater than 10 seconds) such as **resting state data**. If you are looking to perform event-related analysis on epochs, you can refer to this [NeuroKit example](https://neuropsychology.github.io/NeuroKit/examples/bio_eventrelated/bio_eventrelated.html) here."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Load NeuroKit and other useful packages\n",
                "import neurokit2 as nk\n",
                "import pandas as pd"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {
                "tags": [
                    "remove-input"
                ]
            },
            "outputs": [],
            "source": [
                "# Note: this cell is hidden using the \"remove-input\" tag\n",
                "# Make bigger images\n",
                "import matplotlib.pyplot as plt\n",
                "plt.rcParams['figure.figsize'] = [15, 5]  \n",
                "plt.rcParams['font.size']= 14"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## The Dataset"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "First, download the dataset located on the GitHub repository. \n",
                "\n",
                "It contains 5 minutes of physiological signals recorded at a frequency of 100Hz (5 x 60 x 100 = 30000 data points).\n",
                "\n",
                "It contains the following signals : **ECG, PPG, RSP**"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Get data\n",
                "data = nk.data(\"bio_resting_5min_100hz\")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "This is the resting state data from ***1*** **participant** who was asked to close his/her eyes for 8 minutes, trying not to think of anything as well as not to fall asleep. "
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Process the Signals"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "In this analysis here, we will focus on extracting **ECG** and **RSP** features. To process the respective physiological signals, you can use [ecg_process()](https://neuropsychology.github.io/NeuroKit/functions/ecg.html#ecg-process) and \n",
                "[rsp_process()](https://neuropsychology.github.io/NeuroKit/functions/rsp.html#rsp-process). You can then then visualize these signals using [ecg_plot()](https://neuropsychology.github.io/NeuroKit/functions/ecg.html#ecg-plot) and [rsp_plot()](https://neuropsychology.github.io/NeuroKit/functions/rsp.html#rsp-plot). For the purposes of these example, we will select just 3000 datapoints (or 30s) to visualize.\n",
                "\n",
                "*Note:* Do remember to specify the correct `sampling_rate` (in this case, to 100Hz) in which the signals were generated, in all the relevant functions."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": "iVBORw0KGgoAAAANSUhEUgAAA4YAAAFpCAYAAADA/jZzAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOxdd5wkRdl+3p64eW/39nK+g7sjRwEVOAQMgCCigooIRgRUxE/EiGD4UBARBUkioJ+CIiJKOERyOrgjw+UcN8eJHer7o6q7q8PM9Ozt3d5BPb/f7M50V1dXV1dXv0+9iRhjUFBQUFBQUFBQUFBQUHjnQhvtBigoKCgoKCgoKCgoKCiMLhQxVFBQUFBQUFBQUFBQeIdDEUMFBQUFBQUFBQUFBYV3OBQxVFBQUFBQUFBQUFBQeIdDEUMFBQUFBQUFBQUFBYV3OBQxVFBQUFBQUFBQUFBQeIdDEUMFBQWFXRBEtICImPjcNtrteTuDiNZJfT1DbJshbXt8dFu4a4OI7hf99Nhot6USiOgx0db7R7stCgoKCrsaFDFUUFBQ2Ekgoh9JZCP0M8pt+xERXThabVDY/UBEhwM4Qfy8Wtq+oNJYJ6IFIfXtQUS/IaK3iGhQfN4gopuJ6D0h5dNEdC4R/YeIOoioSETtRPQyEd1ARB8gIpIO+ZX4fwIRHTZyPaGgoKCw+yM+2g1QUFBQUNglcKn4vx7ANaPYjl0FWwEcKb73j2ZDdnH8j/i/FcB2aeGI6FwA1wJI+HbtLT7HA5ghld8TwD8BzPOVHyc+BwD4MoAGAENi378BtAMYD+BbAD62PW1WUFBQeDtBEUMFBQWF0cGDAH422o3YXhBRLWMsO9rtKIfhtJExVgDw9A5qUtUgojrGWGa02yGDiFoBfFj8vIcxZpUoug3Ax0O2vy7V9VEAv5P2PQLg9wA6AEwF8FEA+0rlmwEshEsUu8BJ5QsALAB7AjgRwAfkEzLGLCK6F5wwfpiIWhhjPeWvVEFBQeGdAWVKqqCgoDA66GCMPe3/RDmQiMYS0ZVEtJyI8kTUJ0zpjilR/nQi+i8RdRNRgYg2ENFfiGi8bd4qFZ8umfqtE8efLW37ERF9kYiWEpEO4EvSeU4jokeJqFecZy0R/Y6IpoS0aQwR/VSYCWaEyeCrRHSxVOZEIrqXiFYTUb8wE9xMRHcR0X6++iq2kYhqiehaIuokoiEius/2KQxpX0kfQyJqJKKfCHPHnKjrRSK6gIhivrIaEf2QiDYRUZa4j9sBRPR4mEml3PdEtDcRLSSiIQDPbGef3EZEHxd9kiWip4hoX6l9m8X2B4loelifhOBEAEnx/eEy5QphY50x1i/aGYdkhgrgbgDvZ4zdyRh7lDF2O2PsFAAnSWX+By4pHARwCGPsx4yxhYyx/zDGrmOMnQBOJgu+9thtTYprUFBQUFCA0hgqKCgo7FYgoqngmqxp0uYUgOMAvI+IPscYu10qfxOAL/qqmQrgDAA/H0YTzgQwO6RdVwD4tm/zDADnAvgYER3JGFsmyk4W1zDDV34/AAzAL8Tv4wGc4iszCcAnAJxERIcwxpZGbSOAv8JLBD4M4EAAtSFlQ0FEY8BJ2nzfrkPE53giOlXSnv0KwNekcgsAPA6gt8KpmgE8AaDVt324fXIUgLMA2P527wUnSP+Cd3x8EMD/if2VIPv8vRShfCkcAcAmoxaAixljAX9bxthb0s9PSt9/yRhbH1ax7xgbS6Tv7wHwx+qaq6CgoPD2hNIYKigoKIwOPkvBYBz3Rjjuerik8C4AHwLwOXBTOg3A74hoPOCY59lCvwlOUk4AJ07/Aidht8L1pQO42d+R4hPmfzUbnFCcKvYvJh7EwyaFRfH9w+DmgAAwFsDNUh2/g0sKN4GTxw8CuAjAGqnco2Lfh8EJ1QcA/FLsqwXwjZD2lWrjB+CSwrw49iPieltK1BOGn8ElhUtF/Z8HYJsjngzgHAAgorkAviq2MwA/Add6PY8gKfajCZwknQt+3b8W24fbJzMB3Cjat1lsmwA+Pi4HXyiwTVXfQ0R7V2gf4PZDgTG2qUy56SFjvU/av7/0fTNjbG25kxJRPYBZ0qanpH2TiOi9vo+8iAJBInXxc69y51JQUFB4J0FpDBUUFBR2ExBRC9wIkN0ArgMnHCvBid45AGrAycp1AD4jHX41Y+xi6ff/Sd83kBu4sVDBpHU9gBMZY4bUrl9L+29kjP1CbH8GnPjVAnivMCnNwCVoFoAPMcbeEL8Xwo0aCXCt4vfAyc40cW0yDqmijddL+3/HGLtGbH8LwIoy1+uAiDQAp0ubzmSMvST2xcGJF8C1Wb8H1+zZHXsfY+wHouzTALagsqby04yx//i2DbdP1gE4jzHGBEk+X2x/gjF2qWjXp+H6DM4B8GaF9o0V/ytpPyuhSfq+pcry/mM+Ae8YAoDLAPzIt60HPADNWCgoKCgoAFDEUEFBQWG0EBZ8prvCMXPgWnq0AniyRDlbkzNX2vbvqlpXGg/JhEtgT+n7c/YXxlgvES0HN9e0yw3BvYb1Ein0QPjqPSIdG4bmKtooa5helNq4koh6AYwpcx4bbVK5gk0KBZ6Xvtv9IZ9zkXTOfl+/hCHvJ4Xb2ScvSeaZcrAV+Rrk7aXqCQNV2B8WfEa+P3LU10kRzuePEjsRwLIIx8mo1GYFBQWFdxwUMVRQUFAYHXREDTYzDNTtoHoBHup/Z+A9cAnQIIBvAlgOTgLuFNtLuUNU28adkT+y2nN0hGzbnj4ZlL7L0UMHSpSPQpy6xP9KpLqSFvpV6ftkIprBGFtXqjBjbIiI1sAl3u8G8JjYdw2Aa4joKvD+KQW7zV1lyigoKCi8o6B8DBUUFBR2H6yCSzA2AUgwxkj+gEdatCOFLpeOrRR90a630nshjODIppiH21+IpxSY6yu3Ci4xmV7Gl22y9H0hY+xmxtiTJc4fpY2y76JjbklEcxDdx7ATQJ/4niIiWXMnJ0u3+2O1tO1Q6ZxN8PZLGMKuYXv6ZEfADnKTFEGRhovnwM1/AT7+rggrRESyP+Bd0vdvEtGEqCcTUVftXIlhwWkUFBQU3pFQGkMFBQWF0cE4IgqL/PhyqXx1jLEeInoQ3M9wCoB/EdHN4NqgaeDapNPAozyuA/An8AArAHCRZIrYAm7a9yPGmK2t6RXbJwlfs/UA2hljKyNcy1/gRt78MhFtAhe4vwbXj+5pO0AJET0AHoRFA/AAEf1EnG8egKMZY6fBJQoAj7Z6OjjpvTJCe8JwH4CviO9fIaINANaC++tFgsiBdyd48BcA+CMR/RDc5002C/6L+P9P8MivBOAjRHQpgMXgAWkiR0KVMNJ9sr14Bu4ixEEANpYolyox1tcwxrYwxgwiugjA38X200X011vBNafTwAMJ7QdXS3gVgE+LfWPAAwxdDeAVAGnRnlI42HcNCgoKCgoAwBhTH/VRH/VRn53wAQ+AwSp8DhBlF0jbbpPqmAYugJerY4ZU/veVziXK3R2y/zax72xp249KXNvPy5ynE8A8qexUcJITVvYVUSYGbmLo3/+09H2dVGeUNj4QUl8HuBbQ03fgUUPtbY9LdbSAa8pKXes/AWhS+V+HlOkHJ+727wVS+cC1Sfu2p0/kMfSjsL4CcJu0/ewI47kFPEcgA/Bb374FZfrI/lzoO+Yr4FFtS5Vf5yu/F7hWttJ5vuc77gaxPQ+gZbTnBfVRH/VRn13lo0xJFRQUFHYjMMY2gGsGrwQPuJEH1xguA3AHeDqCjVL5z4NrVh4DJ0C62H8XgK1S1ReA5/nrHGa7vg2uhXwcnPjo4OTvRgAHMZHDUJTdKK7hCnDNYh48KM1rENo2xpgJbv56n6ivE5xkfWE47RP4OHi01m4AWfAoqEfBNQ+tCMZYD7jZ6M/A+7wg6loCriH9KHNzGAI8BcePwCNn5sFTKxwDbyTPbMRz74g+GTZEX9wnfn5URG3dnvp+B2Af8Hu0FDyCbQbcJPoP8EbZBeM5CvcDj9D6FHjwHBPcb/JV8LH3IQD/ax8j2niK+PkvcQ0KCgoKCgCIMTbabVBQUFBQUHhbgoiI+V60RNQKYAO4OSkD0MYYqxSRdpeEyGFpR2Q9mTH2r9FsTyUQ0cngWl0AOIwx9sJotkdBQUFhV4LSGCooKCgoKOw4/A8R/S8RvYeIpgpfu7vh+hg+vLuSQgBgjC0CN9EFuHZ0V8c3xP/7FSlUUFBQ8EIRQwUFhV0aRDSDiBgRnT3C9Z4t6p0xkvWOFojoR0Q0oiYgRLSOiG4byTq3B7taeyKiDsAl4H6AG8BNHheIfVvgBsTZbcEYO5HxqLjHjHZbKoExdoxo60mj3RaFnYOwd8j2zJdR5yEiWiDOu2A45xnp9igoRIEihgoKuyAk0mJ/DCLaTES3EdHkyjW8c0FESSK6gIieIaI+IioS0VoiupWIDq5cw9sfRHQ4Ef2biDYRUV78f5iILhjttr0N8TiAfwPYDB5YJQvgdXD/yv0ZY2tHr2kKCrsWpHff4ZVLK1QDInqciJaV2DdW9PuPdnKz5DacV80CsLgeWU7SBUn+AxHNqlzD9oGIvktEH9nR59nZUOkqFBR2bfwIPOpeGjw/3NkA3ktE+zDG8qPYrl0SRNQC4EEA7wLwEIDLwANRzAQPPHI2EU1jIm3COxFEdBqAvwF4AzzIRyeA6eDj6xsAfisVnwtvMnSFKsEYexycHCooKOw6+AlK5MuMADUv7hicB6ALPDpyVGwFcLH4ngBPeXQugA8S0TzGWP+IttCL74K7Bdy7A8+x06GIoYLCro2FjDE7sMMtRNQF4NvgkSf/OnrN2mVxG3gi8TMYY3ICbIgccruDD9SOxuXgCdjf5V9cIKLx8m/GWGFnNkxBQUFhZ4AxZgAwhnmsmhdHEERUyxiLFJk5BAOMsT/56nsLXBZ4H4B/bGfz3nFQpqQKCrsXnhL/Z9sbhOnkZUT0IhH1ElGOiF7wmzgQ0d+J6HXftr8IE4xPS9tmi23nlGsIEZ1MRP8SZogFIlpPRFcSUdpX7jZhrjiZiO4loiEi6iSiq4gnXJfLNovy/cIM9HYAzVE6hojeBeDDAG71k0KAh/pnjF1ZSVtIRIcS0QOiDTkiepqIjvGVmU5E1xHRUiLKirb+m4j29ZWzfUw+KcxObNPN/xLRnOGcW5R7r7jfeSJaTURfjtJHArMBvBimcWaMtfvOE/BdEdd+HxFliKiDiK4hog+Qz5fGNlsior2I6FHRT5uJ6GJffZHGr4KCwjsTO+IdQj4fQzF/byAiCin7CBGtlX6HzYtTRNvsefFXAFIhdYX6A4r58nHp9y4xLxJRExFdLfqmSERriOgHIf3+TfG+6hL36nUiCqTREdf/EBEdS0SLiCgP4GIiWgdgbwBHk2saum6Yzd4m/nuIPxFNJKJbiGgbcZllKRF9xVcmqjzFwP3HPyu193GxL05E3yeiFeL4HnGtHx3m9exUKI2hgsLuhRniv5wDrRHAlwHcCZ7rKw3gUwD+QUQnMMYeFOWeAnAqEbVIubuOBDeJOQrA/0nbAODJCm05BzyH27XgOdVsU8SpAM7wldXATTtfAPA/AI4D8E1wM9nfATysP3gY+feC5x97Czzf2O0V2mHjZPH/jojlAyCio8Fz270CrlnTwXOnPUxExwuzQIBrJY8CNyPZAGAS+D14goj2Zoxt9VV9MXh+tasANInf/weeD6+qcxMnnw+Dm4D+CDzp+aWInn9wHYBjiJvUboh4jN3GOgCPiuv9NXjwlE+D5+ULQxO4ae8/wM1XPwbg50T0ujQuo45fBQWFdy529DvkTvAcoUcAeNbeSETjwINFXVXqQCKqAfBfANPA34f2vPi+6JcXwI6aF2NENDZke4t/g7iux8DljhvA3x3vAn/vTIc3f+o3wH2p/wqegucUADcTUZwxdoOv6jng786bAfwe/B36CoDfgOez/akoN1Tl9SQA7Amet3Qj+LvKvpZx4Gl1YgCuB9AB4FgA1xNRK2PsJ6Jo1H7/DIBbwMfjTWKbvbB6KYDviWt7AZxAHgjed/dEuKbRRVjWe/VRH/UZ3Q+4LyED8AEAYwFMAXAa+GSWBzBFKhsDkPIdnwT3IXtE2nawqPMU8XuW+H0XgKVSud8D2ByhjbUh274LTjSnSttuE+f5oa/sSwAWS79PEeUu9l3bY2L72RXac48o11xlH88Qvwk8YfkjEDlepb58E8Cz0raakPpmiXvzfWnbAnGOpQCS0vavie37DOPc/xDnmSZt2xOcSLII1/1Zce4igCfAX8LHAIiHlF0H4Dbp90Xi2NOkbWlxfQzAAmn742LbWb7r2Qrg7mrHb1h71Ed91Oft9ZHm5cOlbSP+DgEnN0z63QAeGOrXvnOcJ449QNrmnxe/Lsp8QtpWI+Z0/7wYOoeJ+fJxX7tHdF6U5uRynx9J5b8r+mSer57vibJzpW1h8sDDAFaFtJWB5zz1l39D7oPtuJ7lAPbwlb0JXJPY5tt+s7jG5mH0+1CJe/kygH+P9rM03I8yJVVQ2LXxELgmaCP4CtsQ+ITqmEMybiJZABwziBbwVa8nwcmgjVcADIJruiD+94EHIJlHRG1i+5FwTVZLggmfACLShLnJWPCQ/ATgoJBDbvb9fgqcTNk4AZxU/k6+NtG+KGgU/wcjlvdjf/CgAn8G0Eo8SttYUe9/ABxGRLWiXTn7ICKqJZ6wfAD8hRQW+fQOxlhR+m33r339kc4tzHc+AOA+Jmn7GGMrwLWNFcEYux3ASeDj43Dwl/+jADYS0YkVDv8g+MvVWfVk3CTVf29t5AD8SSpbBF9BnSVtizp+FRQU3tnYYe8QxtggeD7OjxORLBufDmAZY+yVMoefAK4tuluqLweuURoWduC8uBHA8SGf00LKfgL8nd5lv5PEe+kRsX+B1F5bHkgQUYso9xiA2UTU5Kt3E2Psvu24hlLX8yFwkl4L4AESPvNCk/wxAPcDYL5reRicxB8mrmMk+r0fwN5EtOcIXeNOhTIlVVDYtfE1cG1ME/hK6lHgwrYHwpb/GwDmgxMzG8z5wphJRM/BJYZHAngG3LwiD+AoInoawB4ArqnUMCLaB8AvwF8ONb7d/heBzoLmlb0Axki/pwPYJl7QMlZUaovAgPjfAE54q4U9if++TJlWAFnifpSXAzgTwERfmbBk5X6TzV7x377+qOfWwft6Zcj+FeCmUBXBGLsfwP3iOvYH8FHwF+o9RLQ/Yyw0pDn4PVrDxLKohFUlym9mjPmj9/UC2E/eEGX8KigovKOxM94hd4ITpKMAPE5Ek8DNUn9c4bjpAFaHzHVRzxuKHTQvZhljj/g3ljAv3RP8/VDKTWGcdPwpAH4A4ABwrZuMJnCyZGNNFe2tBP/1PERET4Frk78NbuXSBj5OPic+YZCvZXv7/YfgkUqXEw+EsxDAnxljiyMeP6pQxFBBYdfGi0xEJSWie8FN//5CRHMZYxmx/dPgK6n/AvBzcHNTA9wH8FO++p4EcBkR1YO//G5mjBWJ6AXx254Ey2oMxQrgYwAy4GYlq8AJ62Rwsx+/NcLOCO29FMCpAPZFBI1nCOw2XwJgSYky9gvyN+AvmN+A+6P0gV/jNQgP6mWWqM/u76jnbi6xb1gQ2r5FABYR0XJwYvoJcNI7Eqh03dWOXwUFhXcmdsY75H5wi5PTwc0UPwE+N985gucoRS5ikObLXWRe1MCtSf63xP41AA+GBu7i8DR4qogt4K4KJ4ATLP87MbC4PZJgjL1MRH1w4yXY5/8LgFtLHPYmMDL9zhh7kohmgwfDez+AswBcSESXMMZ+UfUF7WQoYqigsJtAaPwuASc9X4Wbg+nj4BP0KbImh8Kjij4F/gI6DdwB3A4w8yS4eSEA9IDb05fDMeC+jx9jjD0hnfP4aq7Jh/UAjieiBt+Kb1RzjPvAzSLPwvCI4WrxfzBsRdWHj4Obh14obySiMeB5mHbIuYmoE/ylukfI7u01W3lB/J9Upsx6APsSEfm0hoEIq1WgmvGroKCgUArb9Q5hjOWI6D4ApxHRBeAE8dUyFhTyefcnIs2nNQw7by/CF/imw6tJ2xXmxdUAGiK8Dz8GbnX0fiZFu6aQiNoVMJIWInEA9eJ7Jzjhj0d8t0ft95LtZYz1ggfCu0ME8XkAfFH+l8K8eZeF8jFUUNiNwBh7GsBz4KtPdloIe5KRtTCzwLVnfrwAvpL3HXCHa1s79RS4ed8JAJ4OMRX0I+ycGrYvT+AD4HOSEz5a1Hl+lIMZY4tEHZ8joo/59wtfyG8S0ZQSVSwB13xeREQNIce3ST9NeE1MQESfRHlSVQ6Rzi1eKAsBfJiIpkn79wT3PayIMuT9BPG/nBC0EMAEcNNTu740gC9GOXcJVDN+FRQUFEphu94hAneCmx6eA+6DHUVb+ACA8eAEyT5vDbxRO22sBnA4ESWlsieBR/OWsSvMi3cBOJSITvDvIKIGIrLTcZjgJEmT9tumm9UgA69p8LBAREeBk8JXAee9eTeAjxDR/iHl/e92IFq/h7ZXxBxwIPxNl4EHavO73exyUBpDBYXdD1cB+Dv4pHs9uKbsowDuE6udk8EjqS0Ht/d3wBjLE9GLAN4D4L+MMV3sehZ8Yp8DHua7Ep4B96W7nYh+A+779jG4K3TDwb9Evf9LRDPATTs+gpAw2mXwWfD0CH8jogfAA7cMgIfb/hh4gJfQFz1jzCKiz4MH/HmLiG4FsAmc7B0N/qKwV0DvA3AWEQ2Aa1cPAF9dHpbvRJXnvhQ8CMxTRPQ78JfxBeCh2ffz1x2CfxDRevD+Xgn+ono3uNnUGvAQ3aVwozjXH4noULhh2e1V4uGs+EYevwoKCgplMBLvkIXgWr2rxe8oxPBm8HnxdiI6GMBmcP/zQkjZW8DfRQ8R0V/B88qeCddqxMauMC9eCW4O+U/i+SCXgL8v9gHXrO0LHmX0X+CLwv8hoj+C9/cXwQOVTajifIsBnEdEl4L7Zw4xxv5V4ZhGIjpTfI+Da2m/Am5Zc4VU7hLweAjPEdHN4GNjDHhfngpO2oDq+n0xgOOI6H/A39cdjLFHASwloicBvAhuQbQ/+CLBvxljUVJwjC5GOyyq+qiP+gQ/CAnZLe3TwAX6tRApBgB8C1yoz4MTlTPhC8ctHf+/CA/9/aLY/q6IbTwM3KcgAx6R7XrwF4U/LPhtAPIhxwfaB/5CuQPcUb1PfD/AX2eFdqXAg/Y8J+opir66BcD+IX08w3f8fuA59zrBX+zrwVcbPyiVaQQPf90urv8J8NyGj8MbcnyBOMcZvnPMCLumKOcW5Y4CfykVwAWKL5e63yH9czp4DsUV4FFuC+AvvV8hGMp7HXzhuAHMBM9XlQX3v7gK3DSZAThMKvc4eDQ///lvA7DOty3S+A1rj/qoj/q8fT4ona5iRN8h5eZL8a5gAJ4vsT9sXpwGnkMxI+bva8CtOBikdBWi7EXgRCIP/g492P/uEOVGdF4sNSeLfWPhS1chttcB+Il4XxTAic5z4Ll401K5s8D9/PMQ1i/gWlfPO1a09aESbRgn+rBfHLcuwvXIaSos8AXrfwI4KKR8G3ieyfXgcsE28FgJ5w+z3/cA98EcEud/XGz/LnhQvx5wgroCPIBR/Wg/X1E+JC5CQUFBQUFhWCCiC8GJ5RTG2OZRbo6CgoKCgoLCMKCIoYKCgoJCZBBRDfPmcUyDJ/SNMcZ2y7xNCgoKCgoKCsrHUEFBQUGhOtxDRBsAvAKen+pMAPPAfQ0VFBQUFBQUdlMoYqigoKCgUA0WgjvSfxo89clb4D6Ud41qqxQUFBQUFBS2C8qUVEFBQUFBQUFBQUFB4R0OlcdQQUFBQUFBQUFBQUHhHY53lCnp2LFj2YwZM0a7GQoKCgoKCgrvECxZsqSLMdZWueToQMlGCgrvPJSal95RxHDGjBlYvHjxaDdDQUFBQUFB4R0CIlo/2m0oByUbKSi881BqXlKmpAoKCgoKCgoKCgoKCu9wKGKooKCgoKCgoKCgoKDwDocihgoKCgoK7xgYpome/sHRboaCgoKCgsIuB0UMFRQUFBTeMXhl2So89dLryBWKo90UhRFAJpcf7SYoKCgovG2giKGCgoKCwjsGfYMZAFxzqLB7Y+O2Tjzy/Evo7O0f7aYoKCgovC3wjopKqqCgoKDwzgYR8S+MjW5DImBgYAAdHR3QdX20m7JLoqgbmNJci22bNqJr25ZRaUMikcC4cePQ2Ng4KudXUFBQGEkoYqigoKAwTGzp7EZzfR1qa9Kj3RSFKrGr08KBgQG0t7dj8uTJqKmpcQltRBR1A6ZloiaV2kEtHH1k8wUUizpq0kmkksmdfn7GGHK5HDZv3gwAihwqKCjs9lCmpAoKCgrDxItvLMejL74y2s1QqAIOv9rFNYYdHR2YPHkyamtrqyaFAJDN5VEovN01jaN7D4kItbW1mDx5Mjo6Oka1LQoKCgojAUUMFRQUqsbm9i6s2bR1h9S9rasH5m7k/2Wa1mg3YYegq68fz7+2FGwXJ1DVg5OsXf2qdF1HTU3NaDdDIQJqamqUua+CgsLbAooYKigoVI3Fb63A6yvXjni9fYNDWPT6sh1St0J1ePGN5Wjv7kXxbSbwVq972zEYGMpUjKg5HE2hws6Huk8KuwI2P/h3mMbba75W2PlQxFDhbYv27l4sen3ZaDdDoQroBtcUqhD0uxLeXkKvLcSPtib0sRdfxSPPvzSqbXj74O01RhUUqkX3qy9gwu8vxZZ/3TnaTVHYzaGIoQJ6B4bw30UvO0L5rop8oYhsFYTh+deWYltXzw5skYLC7gXLsiKb6b7tLEgBoP1OHJ4/BSdrx6LhjQOA9spC1MZtnegdGNrxbauA0SayOwtD2Rz6quzvdCqJu+++2/lNRJ7fCgpvdxR7OgEARte2UW6Jwu4OFZVUAW+tWY+hbA69A4MY19JcshxjDEVdH5XobwCw8NnFAIBTjnl3VccxxpSpTwTkCgVs2NKBPWdMUf31NsVjL76KoWyuqmfobTMU2u8EVp6HNMsCBMT0TcDK8/i+8WeUPOylpSsBVD/vjCR03UAml0d9XQ16Ct2RjhnIZQEAxXh2u849rnbcsI7bvHkzLrvsMjzwwAPo6OhAW1sbTjjhBFx66aWYMmVKyeOMEVig3Lp1K8aMGQMAWLduHWbOnIkXX3wRhxxyyHbXraCwK8LMDAIA2EDvKLdEYXeH0hgqRI7CsLmjCw89sxi9A4M7tj2jhMVvrsBDT7842s2IhGVrN+Cfjz0Lyxo5LcKSN1di2bqN6B/KjFidAA+b39M/MKJ17kzolo6snkPBLHh3tN+J47UzcLJ2LLBoz0jap9HGUDYXuSxzJoZdnxlaloV8oVi+0LofApaPJFlZvn0Xhy60vJGDMul9qKMNaKDVQGY5oPftuMaFYO3atTjkkEPwxhtv4Pbbb8eqVavwpz/9CW+++SYOPfRQrFu3bvtPovcgra9AEy3nvw1XyzhhwgSk3sZpOhQU/LCyYvwP9o1qOxR2fyhiqOCgkvjX0z/o+T8SeOaVN7Fqw+YRq297sLmjC4URDrTRP5TB86++Bcsa2ciVK0WfMTZy9RqWKeocsSoBAIteX4qnXnpjxPtgZ2ComEFvvhdD+iD6C/3ozffCYpajfaqlDhAxoLCBa58qkMP+oczu0w9VjoNCUR81c8dXV6zBwmcXlydOhY3VbQd2OfIfqXf1PqCwGTHofE5nRaCweaeSw/PPPx+apuGRRx7Bsccei2nTpuGYY47BI488Ak3TcP755wMAFixYgAsuuMBz7Hlf+TJO/8THnN8PPfQQjjzySIwZMwYtLS34wAc+gKWvPQfk10OzrxEA9E5A564DsinpzJkzAQCHHnooiAgLFizAk08+iUQigW3bvGZ33/ve97DffvvtgB5RUNixsLJ8QVfL7L6LsAq7BhQx3E2RzeVhRFg91g0zgrAWTZhLJrjlcVE3IpWPgq7efry5ev2I1ReG0XTNeWXZarT39I24Fs69ZTtCm1Ohw6oRltvvxMFDJ+Fk7VjQi3MrCtap3r/jeO0MvHvw0FEXxDN6BlnDe990S0dfoQ9s3Q+q1j5lcnk8/uKrO3y8jwbyhSIeeuZFLF9XhmTtQGzu6AIAlFWgp6ZWt32Y5H84MJmJgllAVs9iqDiEjJ5x521JM5YsRtD+FdsB+BcfLLF95GAxK/Td0tPTg4ceegjnn38+amtrAXBzfsYYamtrcd555+HBBx9Eb280k7dMJoMLL7wQL7zwAh5//HE0NTXhw6eejmLRp8GHxQmwDy+88AIATjBXrl6NP//lThx11FGYPXs27rjjDvdoy8Idd9yBz3/+8xF7QEFh14GVE8Qw+/a06FLYeVDEcBeAyUx05bowVIzucP+f51/C868uLVumqOt44KlFWL5uU7RKKzgTOdH8RiMD2Hat3I8eM6zGHM8wTehGNNLNQr5tLyJRzGqEZbss2kHEQIWN5QXr9jvRsPmbvG6MnCCuGyZeeH1ZZVNDcOFwW1cPdFNHRg8n84ZlAIUSz1QZ7VOhyLXRI6lxB1yhe6Thjt3KddvXtrWzcrCnnv5BPPbCK5EWtqLCNqkuO4ZnXA5otd5tWi3fHoZhmJ4WdR35YuVxJqMn34PuXDf6C/0Y0oeQNbLI6BlYzIJV7BKasSIIgBZF+8dKnL/U9mHAtEyYlgnDMrgGXcLKlSvBGMP8+fOdbYOZLPoH+fO01157gTGGlStXBivWe5DAEBLIAEOvA3oPTjvtNJx22mnYY489sN9+++EPf/gD1q7bjBeWvBnpGtva2gAAra2tGDt2HGrr6gEAX/jCF/CHP/zBKbdw4UJ0dHTgzDPPrLo/FBRGHfkcjCJDIj/6gbIUdm8oYrgLwBYCskYWphVdWOqu4Ldla/Y2tXeWLWfLlGWFqvY7MWvz0ThZOxZzth4zIqvmkYXZnbhyP+Kw+zYC6/rPc0vwwFMvDKf6EUKERlYjLFcrWK/7IYjlopePiM3tndja1YNlaytrs5av24RFry/Dhs7ykd2s5KTwHaW0TxJGOpjLK8tX48EovrFVanrfx07HydqxSCzZK/qzFuHa3li1DgMSUSiHjds6kc1XjkRszyVln4fxZwB7XA+jtwGMASZNBPa4vnTgmWGYnj749ItY+Mzism01mYnc5j8496LplUOR6v5HaFkqbkXV2j8qERys1PYqYTHLQwb9xDD0mBBVbtIfxEzvAfLrQfb1siKQX4/Vy5bgU5/6FGbPno3GxkaMHz8elmVhw8aQZ7TcNRr9aKA13Cdx6HV89lMnY82aNXj22WcBALfeeis+8pGPoLW1teL1KCjsatBXvo7n7y/CXNcx2k1R2M2hiOEogzGGvMFNYlLd/4D+zGywJ2vKCm5RCZWm8dtrlvNpar8Th2S4qd+YZQeX1fwkzC0gYkiaW0aEmJlmRF+r4QSNkITgKCaMOwrVaFcjm+i234njiAvtscXzKl6bYZpVaWfKDq9qhOVqBesqt1uWFUnDWjf0TxyvnYH9O/apSIhyhYLnfykMTb4YTKvxbiynfQKQ7Lkbx2tn4MjMYSNqJrtha0flfhiOppeEprdYQdMLICGubUHuiMjXVokgM8bw0tKVeOqlNyrWJR1Vfvf4M7D1ynPQedaZ6Ek/WDYaadWmpxGQ1bMY2vR7pNde5NyLWHEzGtdfEk4Oh6P9S45H8NWuie3lUdD1ivOQnwgyxjzb9thjDxAR3nrrrdDj33rrLcTjccycOROaprnvs8JmABZ0z/ktnHTKx9HZ2Ykbb7wRixYtwssvv4x4PB7STg1ITS5zcds8fpdtDRmcfNIHceutt6K7uxv33XefMiNV2G1hrNgIgGB2jZxlgMI7E6NODInoPCJaS0R5IlpCREeWKTuRiP5MRMuIyCSi23ZiU3cICmYRAEOq+x9oXH8J0mxbRTO6qJEo411/xfHaGXi/cWS4sOaEb9/GBRQ7fLu/XJXErG9wCP987FkMZMqHSY+sMayWSPiE4IomjMOAZYX71/jbcXjuIzhZOxaNEXOmVcQwru3+JxdVjrbaficOy53MNRhvHVi6vmqE5WoF6yq3P/fqW5U1rO13orXjkmjmqe13Yp/u9+Nk7Vjsuen4klocACi0nor+qVfA7KrjRDo1rbz2qf1O1G26aMTNZCNjR2p62+9EzYYLq7i2aM+9/XwVKplmSotA8SXzI/QpRWtGtaanZWBapghiNIT6zT8HWV7NOFk51G/+RUhTh6H9SzQDqclgZoxfIiU5YUo0V2xnIa8jny/d36X8CmVi2NLSgg9+8IO4/vrrkc16x1E2m8V1112HU089FU1NTWhra8PWrVv5TkF2X31jhVO+u7sPy1asxXe/+10cd9xxmD9/PgYHB2EYBpBohWXF3duYaAMSLYG22ZpJ0/QTSQtfPOsE/PWvf8WNN96ICRMm4Ljjjit57QoKuzKMLm5ZwYoMZsD/VkEhOkaVGBLR6QB+DeBnAA4E8CyAB4loWolDUgC6AFwBYNFOaeQORtHiD3D95l8EhIVSwpgVhVC134nEuq+VF9aiCoBVErMtnTzPViV/I+q8K5ppW7VEYieEpf/XE89jyVshPjI2BIGrASfdWinSXS2GeW2VtMaRFgiA6oTlagXrGZeDsVS08u134sCBEyqPnXU/hBbFPFX0QdLaKrTiW0trcQTyLaeg+xunovOsM4HDVpTXPu0gM9nI5qE7UtO7g67NnebKqBaHswhkv/UqzaPC9DQy+S+BgllAT74XusX9MLXilvBmhWw3kxPAhqP9SzTD2NIIY+MYoG5uJFIYBaUWw/x+rtdddx1M08Rxxx2HRx99FJs2bcLTTz2F448/HolEAtdeey0A4H3vex8efPBB3HfffVi+cjMu+s7V2LjZNZMdM6YRY1vH4Oabb8aqVavwxBNP4Nxzz0U8Hgdi9dD7JsJYK0w/4/WhbRs3bhxqalJY+N/n0N7Rjf5+1wfr+GMORmtrKy677DKcffbZjpWNgsLuBrOHL3xYBkOuc2QDTSm8szDas+BFAG5jjN3MGFvKGPsqgK0AvhJWmDG2jjH2NcbYbQAqRznYDaCLVcxSwkKYMEYdEYTBdT+sTDSjCoDVELP2O7HH1mNwsnYsZm4+qmygkdiaC6KZtlVLMIYTln4YsCMhhmIYWpcRF/Cjopq2ViMs2z5doqwZn1xesB5/BgbyF1euuxqzyKj9FdIHJbU4NqrJIbkj7ls1/bAjNb3VXFv7nXhX1tZMH1SWwNlm2GUtToexUMLsIFpR7t/4M6KT/5BnOG/k0V/oB5P8BEv5p4ZtZ7FmmKkpjmbMYvHI2r8dgXL+hPK+mTNnYvHixdh7773xmc98Gvvvuzc+fNIJ0FgOr7z4GCZMmAAA+NznPud83vP+c9BQX4dTTzrGqUfT4rjrz7fitddewz777IPzzz8fP/7xj6UchZXvYTwex7W/uAS33HEvJu35IZzyyYucfaSlcM4550DXdZxzzjlV9oaCwq6DYj9/FiwDyK8OCcykoBAR8dE6MRElARwM4CrfrocBvHvnt2jnw2IWTCZWeZKTECuG5PPzC2MOoRKkzxYGAa/QEkVYS03lx1c654zL+TlkASyMmNm+iFYWILi+iP62AeWJq7+s+G0+cz601gyQngqa8ePSQlrU6/K1/XjtYtSgE1g0lV9bifoj5aGrUljmAr7o31L3FKj+2qJcV7WkZfwZ6P7GIwCAcetvCS8jle361qPQDAvJ5/4XzePbAkWyehZZIwsCIV9cgMI31iKz/zTMvK90kJqSZGC4/VXiWksu2ABANfkIhzMmK6Gafoj6DFdbFoh+bY5mms8PjmYaCH3WHAVUOWa4XYR7BEM3hTzDbOVXUCj2A62neooOTb4Yjesv8cx/TKvB0OSLw1sZa4beZ0Hrz8Ec14hxE4LmkmHQE7wt8Zo2J6J0+QN60Fo7wHMDWoOCgLrnqhRkxu9PPWXKFNx8/c+B/HkALPz2xrvwze9dg6ceuw8nf/QsINGCRCKB6667Dtddd53TBja0AYibYJSElZyAo4/bD6+/fornGoaGuNavsJ5rRgrtvUiOa3bb4tNsfuHLX8MXPnsKvIF8uE/i1q1bceyxx2LGjBmV+0hBYReEWcyjKGJ5WRYDW/8agA+NapsUdl+MpsZwLIAYAL/Oux3AhJE6CRF9iYgWE9Hizs7y0Tl3NmzTIqCKYBZRNIFAtFX/qJo4W/OTGQPGAL0wNlyTU83q/bDICF+579z3GQyNOSm8XDXXZaPKqKdlzTJtVKN1qabfqrm2qNe1A4JshCJEQzNUzGBIHxKLJCaKRuUIlFWNnRmXw7IimKeWuNaS0UdRhY+saAdj6crtqAbV9MMwNL12WSsxpbymd8blYIhwbVVq92zLiJPwvtJa9OGMXYroY1gNqtA4F1pPxcB01z/VTE7GwPQrUPARyDAwsEhRQKuGiAgqB2dBfr2TMB6oPN5D06aIgDIAcMGXT8cfb7ocby5dhVzf6vBKEi0wNjbDWNsKo2YerFizMzeEnj/qPUy0AOnpYIbrd9lfGIPnFi/HHXfcgQsvvDBiRQoKux76ly12FtIsE9B63365chV2HkbblHSHgzF2E2PsEMbYIXY+o10FhuU6w/uFBZaaGi6MRRUGowhr1YRvH38Gtjx8GTrPOhObXv5VeJlqBNXtICOMMWSNrBPNNaytsmDLkiX60kaVAiuLYvZZDYHbDgG/rNAe9bpGMMhGWZheKa5gFgIJ5B1BTyuj4ahm7Iw/AwNbv1KZEM24PLAwU06LA8BDdHVTL11OtGPIuiSyv1p2w+3IPjGtfITiap+haswipbKFPZZULJvRvl/52qrUokcyNR/O2BXEMFsYQl+hr6oUQSVRpca50Hqq07/d+z0XiRTaiORjXi0kAiedyZMwPizCsn9LoIwveuonPno8vvPNc1CTrk70YIzBLEeIo2hEJdKJ+n1xysfOxrHHHovPfe5zOPHEE6tqj4LCroS+19wgbJYBJHPl0y0pKJTDqJmSggeRMQH4vejHA3hHjGqZGAJcWCh8g0ePHLP2d0hoieBBUc22xp+B3KYOpNZfBq01A0pPCzcjHH8Gtl6xGKktfYj9/WK0jt+zdINj4mVeSmNWjbncjMvBVnzFG7SijEBXMIMkMKNnkI6nQkrDY+7YvPQ6JGtLlAOqFlgTa7+KZCVTXp/5K0tMhjb7p+ECdol+Y6kpGCoOomgWARCIAI00aGNOQO6iU0EMqHnpStS3NIdb20W9LtEmY9FXEWsahEUTENvjiqqDbJSE49PlCuAmMzFYDEn07uSjKyP8VmnqmB88CsVLujDwgX0x56avh5Yxx30cQ8V+1L5+KeJ1fTD0VmTn/rC8wC4Rw7yZRyIW8rxKKJjvR+4bq5DdaxJmPFiGuLTfifT6r0MjoT0tNcaqNfkcJqL44hW1DyH7jWXIzR6H6Y/+LLxQNfNDVFNzv5l5aipoZhkzcwBMPCymrqNoFtFr9WJMegxiFCt3ieVR4trKaZyHC8YsMKZFMw+NXGn5tBhh2kBdN1EsGqitTTptYYx5TX8pGV53iaiq5bShjFmwGEGjkVnPfvzxx0ekHgWF0cbgm9yncIgxjDEYUmYfmGWBVDAlhWFg1EYNY6wIYAmA4327jgePTvq2h1FmpbrkKvaMy8EoWv40PX0yur9xKjZefF5ZDQHZgl8lUyGbGJbKP1jN6v34M1Bs+0V0DYqeC2wzmRFKGIMNr2B6FUHzYjITWT0Ltu4HkaPHylqXoSnPljXFC+u3zORLkDNyMJkJkxkwLANFs4i8kQeJW9Wf60VnrhPduR4MFgeRN/KuAFelZm3Lr76IzrPORG/8/pEjhTLEuGGMob/QX14IRPhigN1Wj0a4lHbdQWXTwYJRRKH1VGy49xJ0nnUm1r75q8paHOl5iTYO7eZUEOjX/RAa85nUWlmYa7+H7lw3hooZvqhUdT8MExFMFx3yWO7adqAW3dFu7vd6eVLIpCUHMR4tZmGomCl5TCSEXFtFjXMVcEca798RNyetkBbDv1BDZh/S+go00XIk8stBZl9oOZ5XMCSqaol8g5Wuy7RKmJQOE6HmrwoKuxlyy9ejoDEsZhq2FQgxvQizs4x/vIJCGYymxhAArgbwRyJ6AcAzAM4FMAnADQBARHcAAGPsLPsAIjpAfG0EYInfRcZYeDbdXQQDmSxWrNuEg+bPcZL62oFnwlCSNI4/A/nOPiRXfK+8JlBG1PdepRekLfOVKmdrnl65CLF0D4x8CxIHXF2ybUbdR9D/DZ51pFwQE9MyoVvhK9p5I49UrIw2MAoqaF4sZqEv3weTmagpbAqvo0KwC6aXMVfzaT0oPQ35qd9DtjmC87gQyE1mIGcYyCEHgoaGZD3SO0mjFBkWF8L6i/0BbbkD5hKMrJ4rfW9ljfCqG5BMlJnKxLilMuPbIXaOVrzyQ8Mk01iLWdBNvbzWMAp5AsqaJZrMRNbIIGtkEKM4kmNORE70w9i1N+2YFeIo0TtFGVbu0qrRTA83WE9RB2rTJXfnjLw7j1kysc9Dt2oCVhqRScP4M1AwC4g/fxG01gys1GQMTb64KhPRKHCm4BF1kAQnavn1CAvOAnj7gcw+xAqbQHZZVkSssAlmigfKYYy52kwRvMYOKENOTsVgAJ1SORL9MJmJGGJVa0zluhnjvpoWsxDTYqDysW8VFHZp6Ks6wWIMMIB+A0DBgrn+LcTHTxntpinshhhVYsgYu4uIWgF8H8BEAG8AOIExZnvOhuUzfNn3+8MA1gOYsaPaud1ovxPJFZfgYKsd1qLJwKyfwGz7WNlDypHGYvJEDH5jMYyaBCYt+13JcizwpTzKCc5yPWVfyOPPwLbnDCT/8DgGP/NezP5AGcIa0bcnb3q1J4y5snXBLMJiVnnzokqCbQgxk8n2kD4Ek/G2Ro4eG2hDhRV+iei0rrsRA7keRLlxYWZ+DBYGigOwWk5G7R6lr6tknVUInR4hsAIsw0Rfob8kyeeF7EEG6FYRhmUgrpWfprZ3xd9ilhMIitm+jaW04p4DvWUKZrE8MWQRyBMQ2SzRXgyw0ZnrhEYxaLZZHxjXJIKBhCmyjaHiEGJaDHEtHm6yHmx2BYhC5XxDAWD8Gdj8q1dRs6YT8TsvQsv4vcLLzbgcbPm5IEjPfoRFjUpjIWdk3Qvylc3qOTSlhkcMDctAf/MJwDee4huWljCnHSHYxGakzCorETh5TogVt7mkUIBgIVbcBqOm2Rlvct3GxgH+db8ZJZsQVQvKGIMJTg6HC4MZIxt8SEFhlGBZFsy1OZhiKhgyCMibYN0rAbx/VNumsHtitDWGYIxdD+D6EvsWhGzbvZb2SoRotywdaPpAycPKmZnCEC/QSgK5I9xWInx2OKuoDLLSftt0r0J9ZrTzlTfTYyiaRaTjpbUEka6rRAoG3dSRlyJlDk2+GA3rLvEmTY+ihatCCMnq2egHlCGcQ/oQtNZTMRA1tYSNkRaYxHjI5AeQtmorFPYekzfyqE+GJ652UcEEukKxoqnDT2wqLpIAgfFdtAoA6iqXr/Tczrgc1ltfghZzCXQUs0TGAEZW6GNlk0QbWcPVIhM0JGMJJLQkUrEkYppP4I7SF1G1oZD6toJ2Mb9uG5Kbf1zVokYgfoqEoll0FnjCUDALAbLFjGhkZaA4gJ3NNAL+fGXKRVq8KUHgAuaWEfwRq1XAVWvSaZNDRBlLorwnzZAihQpvE2TWLwVlATPJB3XWIuhZgPIqMqnC8DDqxPBtjxKRIePrLwP2K00MywkwUV+gtjaJIr4EK9YbUbBlEcPBRwlqYTKztNmhQKECMdwejdKg7g2QUmg9FbpuYswrP9hhWrhclJQNTsXl6w0N8FK6MulvdSiYBRiWAY00JLQENOLm0lwTJ8xdjfL3EQheTt7Mox6ViGEFVBivHg2mo9WLoInxjV/DMriZW6kgJlHJ0/gz0PX3p9A64c7qzBIZQ9USObiGuWAWUDALGNIh7qHrc2ZF0eyb0QR0cUKOCmavunYCBr/xBrJTWzDj6WDah/KVB+E8V3aRwPzDkDfyqE1IixcRUtNk9WzFOWpHwIK1XVqzqAjMXRUCygzHzHU4PpMef9Ey9dra1YiqbwWF3Qq9r/KQHHlLLMBagJW3kNQ2qQA0CsOCIoY7GiX8hSjMHNEDBtMyg6v3QHTNXhRzuGrqjfpitbUuleqLIHCGpgFgFiAJRGVNE4HqEpFLyOq5UIEv03gSrG+8BKAKLVzUewagGmpWiVyzciqU7T89DMvEkD7oyckZqM4mQlH6wGduaTELRbOIZKxEcAxEaK5DVsJL8qiv3iJRFCxhfV80i6iJ14SUBpg9DiuZWwIY3Hoo8PMCBs48HI3fO7lyY4ARE3wtZqEgmW/35XtRyMUQozhimoYYxfhHiyFOcRARmCPYR+g4KxqJZKYZuUrnmBJjjDHmWB6QfZND+itn5DzEsNKikslMDOnbGbhmuGAYWXPSUqfx9YGZnOD1MQTAoMFMThDfqx+H2+szyRiDaVmSsQoTWnJFBhXe3hh44zUAQFaIKnkAlMsjlsjC7NqG+LiRj4ys8PaGIoY7GiX9hcKjssmwneyDOyL6YtiCaETfwerISxlo0YgAi2BKWgwhff6Xve0jVslXqhqYzESmlMAX0QTWg5HqWz+G05ZKqEKY6sv3gVG08UhRCLoVNJMumIXyxLBi0KTSGmzTMr3a+ajmnkDoPS2aehliGM3HkJu92aSoGlYUvWg1YIKAWKwIPXALCQktjoJRQAIR/CftCgGwCozPmR+q6oPwTiiYRTgdZBcJGw/MRN4ouGlwjPKLVzya6TCIEKt09dHrqVjRdo4LP2ljsWaYKSCW2QzETYCSMJMTwGLNzvmq8T3ersig0i21mFn2WkeqzxUUdiXklq8BpYBCzvYtJ+QHTSQNE+aGpYoYKlQNpWPe0SgRoj07+dsVDy1lTsqiasAsnyBUCRVezhRVaI7qYxjhOkI1hiGHlUswHsVk1Y+hYqa0tk3yO4os0OxOK9dVaFjLmTw7sInAMLugYiqIive3tN9gQNNpF4kiQYact6z2OuLzUzCLkua0ClF2mJrxyvWW619uLlww+D1iBG/KlBA49yHq/FBNH5RYNOP+nz6UOH/WcBeEys0duql7NKujgWiatuHPPaVIG4s1O8nii8k9XFII4POf+zw0jedZjMfjmDZtGi74yffRO9Afeo4RSb2hGJ/COxSFle2It8agSw9B74AFdObB8tW4kigocChiuKMhco0ZfY1gDDDYBLA9rkOu9ZSKh5qlBL2IRMdOKB75nVnRlFT8j1phJYGuwvl4/r4Q4hGmqYkikEdE0SyWF/ik+1LOhNLbhB1EDKsgA3kjQq49YMS1m46Pa6SALvZB7tiRo4aGopJmugzBCI6bKnzlQs5rMStSKo5yyBm56p817MAxFqVeO0clEQaKA+jJ9/DrCIPdb5XGrhktarGMUk31mAv72+GDYRlO21kZ64whfajq9rnnHhkSH0nbth3DIhLxDCly7LHHYuvWrVi3bh1uueUW3P/Ef/HVn/5g+Oeo5uQjUFRBYXeBuWYQiTqC/NbpzwDoyQMDa0arWQq7MRQx3BkYfwa2/PbL6DzrTHQY98Bq+0Skw7ZbY2hGM11zo5JWqNde6K9E+KJGiqtgEqubpQI6hJvwlRKQqtUYDhbLC3xyu0MFztCDRt+UNGdkyxewq6pwX0zZN7Sa1f4IfcBK+J+V7eeIvrEsxLcvoGl2qorkZBi6uVhCe20/t+WeH5PZOTuHwwyjF60KEeq1/YntSzOZicHiILpzPSU1vhX9Y6POX96jAlsMy/BqpSJcz1AxA5OZJefarJ6LvCgUBha0yR02RjzZvYRIiw0h9zGVSmHChAmYMmUK3v/+9+PjHzgRjzzHU3mYponPf/7zmDlzJmpqajB/7nxcdeVVTtTQZWtXI7n/TGzbtg0AkM1mUV9bj5NOOMmp/9bf34r5c+dXezVVlldQ2LWR794CdDMkLAYTbuSFniEG6BZivW+OZvMUdlMoYrizIJlXRjK/g/CZCN8R7ZxVhJAHohCo6swmK/qYOIJy+G6jhOAV7pvISmsNqyRl5XJIAoDsaFVWUymjknIk4pgIoIpr0y29rMmtU2WFcSBrSiIJjo7pYOWi7vV4B0U5YlhxocQej746QzXSUXMNonQ/lSQMPvIUBtskk4bBC3eYH2uEel0S5+9jA/2FfvTme10TU0dj6K3XYhZ0U3fuiRt8JnonhAcEKn8/QuuBhYHCIJgefC51U98+bSEwoma/FTVu27EotT3aPHtuWLNmDRY+8yQScR7SwLIsTJ48GX/961/x5ltv4rIfX4afX/Fz3H7b7QCAeTNnY8LYNjzxxBMAgOeefQ6NjY149tlnYYjIxk888QSOOvqoai9mlwIRnUdEa4koT0RLiOjIMmUnEtGfiWgZEZlEdFuJcqcR0VtEVBD/K4QyVtid0ffG8wAAK2vBAiEGLtR39gPQGWgUoiUr7P5QwWd2FoRsQ+WIoT/6WyViWCltxIhHJUWk80bmj1Z56VevZJLnQ9EsIhVLhRQfYYlAEupsbUTFyIAVVvUjax791VYZfCZr5NBULgk7UFZo1S3dqwGKMsQcTeTwtA/8vEbpgBaVNE+OpttXZ5hG2iFvwws+A5T2M2SmBUJ5jWHeNmF2ArRUgSrzwEUNDhLpJlcgcbqlQy/qAMhpZ17PY6iYgQWekkY2wU3GkrCGQQzD+iBwPyL6OOpWEXrBq2UvmAUMFAaxvSyj6rlZYGl7O4a2BCNaEygwjbIhPpbotcFIkXDBAJYRx7w8xH+DobG+FnvNnlZVOxcuXIiGhgaYpol8ntd55f98HwCQSCRw+eU876tpmZg6bSpefull3HXnXTjnc+cAAI48+DA88fgTOP300/HEE0/go6d9FAsfWojFLy7G4UccjqeefAo//umPPW3fnUBEpwP4NYDzADwt/j9IRHsxxoLR6oAUgC4AVwD4Uok6jwBwF4BLAdwD4KMA/kZE72GMLRr5q1AYbRR7uwEA+SELFjRoABIAejNcY8i2w6pB4Z0LRQx3FhyNIZU2/fEJC3YOJr8AF9mUNKJJZ6B8xfqimZJW1LpUuI5Kmhc/SpKrkdak+O6TbumhhFRGJXI6XGJYlSknwpN4B1DmvmR1n99YJDLCfP/LwI7cGWge1wiH9nNEjaF/3JYNFLMdxNBiVniqmQrBVEwrJGfnLhCVNFK99jNRsbnMuR9FI+8J9CKjaBaRLwwhHalOCVVoDKMsGOlGEfYySneup7I1QVQYI23+yTDyEViirvAFNx155JG44cYbUCwUcfPNN2PVK2/ggk+d7ey/4YYbcMstt2D9+vXI5XLQdR3Tprvk8+hDDsev/8Y1iE8+8STO/+r5yOVyeOKJJzC2bSw2bdqEo48+Gqjmduxa5PEiALcxxm4Wv79KRB8E8BUA3/EXZoytA/A1ACCij5Wo80IAjzHGfip+/5SIjhHbPzliLVfYZWAM8eAy+QKDKeaAOIDBArjGcKTmK4V3FBQx3ElwSJJpVdYEejZZwYTZllcIY4YJlitCa/CGyWdOqPWoYcMjCisRXQwrFWRlkmJzAbnUmzx8O/fPCklbEUEAjByYhTfO81M3jYrEsBI5LRjD1BhWTXoZ8kYBtYmwlArlTT5NywwG5YnQt45ZZJS2mqXJUymNcPQFDX99QcIQFrm0JMpFrLT0IDG0r62E9qbgyafIypYNw3Ci70ZCpPtW2o/TDye/aQUNsmUMw5TUd/8MywhGF67GtFlaBBoxUojqNf025k8Yj9jYhsB2jbTAeNNfWwcAiM2fAi1R+VXPGIPx+noAQGK/GTAsM+I7IXgttbW1mDVnFhJaAtdeey0WHHoEfnrTb/Dj312Du+66CxdeeCGuvPJKHHb4YWhobMAN19+Af/7zn87xRx16OC746fexatUqLFmyBEcffTRy2Rzu/MudaGtrw+zZszFlyhSY67pKtiFKO0cDRJQEcDCAq3y7Hgbw7u2o+ggAv/FtWwjggu2oU2EXhk0MczrPKmqPcN0ErIKpiKHCsKB8DHc2TLOqaKOhJNInVPRffBu69vlqcAW8WuEyqilpJTg+hpXKlfYxLBnZEeUF4EIIwasYFZ9ZGNKrCOscojGsiDJt0C0dsIbpYxgx8IqMvFkiWqQtL5cwc8sZIZFaq1IYRvFHLE8MQ1FJyA7RGHL/wpAxxgJfSqMCMQxUbZTXqnlSKgzH/HlHBSGphtBHCtojSGREQl9V8BnGYJoWssJ8seyzGSUY0o7q02ojrkaYw4Z7bOghjME0TRSL2yFYMrdd3z/367jqDzdgy5YtePrpp3HYYYfhvPPPw4EHHYg5c+Zg9ZrVnkPnzZyNCRMm4Ir/vQKzZs/CuHHjcNTRR+HZZ5/FI488EvQv3H14IQCMBY8T0u7b3g5gwnbUO6GaOonoS0S0mIgWd3Z2bsdpFUYLZjYDxoCiyYmhPVUyELq7TGC4sQsU3tFQxHBnQRKOS77ES2gMK5Ur/v05AIA56BX4I/uxOFFJS2jiLBO9+d5IgUtEhfxfJWZolCYB5YhhOZenfFiaiQqmhhk9U1VkP3+/RiOGZUiEaQzf3LXScSFjwO/P5aCCoBxGKKNpPqL5dAEoS/JMFmJqicrjnIVoIUuNZSfYRpThUMEXM0o7nH2MeTWYDs+qJo/hKEq+kU1JEX2hQLIoqCbVyuK3luM/z70Exlj4s1mNBtvYMX06XB/Dcig1hw0ngAwDQy5fhK6b2xWAxhL3+OhDD8f8WXvgJz/5Cfbcc0+89NJLePDBB7Fy5Ur89Cc/xVNPPhU49sijjsSf/+/PWLBgAQBgxowZaGtrw73/uLf6wDMKATDGbmKMHcIYO6StrW20m6MwDJhDGVgALJDzlNaIb/c/mINRUD6GCtVDEcOdBSngQTVpKMJe9qVWsfNdvgTCtr9WRNkyTBPHGENfoV8IWHy/GVW7FTVNRkhBo5wJRBmB0mJWMDx+WVKml8y3ZpTyA3JytjknKE9kgQokohiNNIWh0mElhN+ygnZIW23fxOD5Kwu4bh7DikU9ZCAMoVrDyirhQJ2FEtpHt60RBPcy5zVEsBwPypiSFj0pKuB+r0pbVkXRakhkNWlGopiS2hYFFdNVuOk9MvpQJJ9AZjFs6+rl3xkru5hFUbpgJ6WZGRrK45VX18OsRBjLNGe7g2xJh1dVV9k2WU5dF571Bfz+97/HySefjI9//OP4zJmfwbsPfzfWr1+PC79xYeDYo486CoZheEjgUUfzbUcffTSAKr0qdx2NYRcAE8B43/bxALZtR73bdkCdCrswzEwWttMNE3G3bSeRjh6G1UsGRq9xCrstFDHcSbCFIcuULcF9CBEKopiS2jAGfXnqfMEuCg+/DJYrQwhChIGMnnVN7mzXINMoTw4dvlfBx7CMYFiWaFUQWgJETxQvPrMUxqqtUjUMA8VwE9JMpoAXl6xBZ1dwPwnCKPtTVSSG5cippVfMHWjDspjXFLmSAFeC3IbmlvNpUjK5PFau5xEQ82FmpFHOX23ZCgFawtpdUYgNqbNk4BmnD8T//hyQrz7dAT+H77gyGsMAgbHPX42PYTWSbxXEMMptozLa/2CF4l+FNrjEkWAys+QCTmjlAAwrJB1JWNnHlgEvrg0vMkxfwIrwmZJuWNOBxMsbMDhU4jnz39uiARjeOqxSam5bCW5Z5Z8VaV/JuiLg97f+Hvfed69bl1hk+eQJp6BQKGD69Om46Zab0NHVgc7uTtx08034/g++j5WrV3rq+dKXv4RCMY9Tjvmgp+6iUcSUKVOG0bJdgxkyxooAlgA43rfreADPbkfVz+2AOhV2YVhDQzAYYElj2/YmZgCKeWVKqlA9FDHcWZDNp3ozwIOvBSWuyKaklqdK5xQ+fxDZXMlYvhn9X7wO/d/9Y+m2mRaYaaHwn1fACjyfWFZOii5pPTMlogl6ylUSEm2NgG8Umsys4DPDYOR1tF/3CPRMkCgUzaJXKBft6fvUL9Fz7A+czVkjWzKgRKY/i+l3voDBTT3B04cI+JWIYSl5zLTEtYbc+2yuGBDk3lq2GS+8uMb5XUnrUkpTabIS5qRwh8Pzry3FW2vWI5vPl9SwVSVrRSEjFVMI6EFhnzGY3QPomP4FDD6wOFilT2Oom3rp8eVPZXD4j5E/5drwohWuxx/chvk0hkx3tYqB/o36DMmohsRUozG0y67YBoQ8b4Bk7RDJlLS86bpTzGeemjWyERYBGJLdQxj73OrwxQ/AMbpy7t95dwBn3Rxa1u/7+9ar67Hxsnt5dIftAPMt2Iy//Rns/fMHoa3qqHQk/7eyHVi+LbCr1Lg2dAPFVVtRHCpNrj0LC4zPLVpBj/CMiwJdg0A22Of+NpmVCKp87JY+xLf2wcpUIMyR/JcjnXJn4WoAZxPRF4hoPhH9GsAkADcAABHdQUR3yAcQ0QFEdACARgAt4vdeUpFfA3gfEV1CRPOI6DsAjgFwzU64HoVRgNUzBBPutEviEwNfWzT04S/wKLxzoYjhzoKtMbRMWDc8Blx0J/DkCm+REMEu1JS0hLDP/PbkknA52M3NTDMiUp2voPOtsGg5+r/wWwz88l6hJQq2iSwe2bJ0Pkbvz65HX8GWfz1f5jp8SbErmKoyi6H//lcx/rePIvu//w7sz2QL2NjR7inPfKvrpmUio2f9hzpIPbYMkx56A623PxPc6SOGA0+vQPZ9l8PqLhPARgihWz98Obae/Stns0NgfUJyb18Gr762AV3d3kTag4NeAck2K+7ty4QLW2XC4pc0ubUY+ocyGMpyIZKbb4ZLVdWanLGiAfM9P0XxjyUWsf2km7GA0BeI4MoYel5YBgDovv7+YJ2+cVaS5Io2OucVSG/oDi9bUWPoO4/pRglmjKHj0G+i4+s3lQ6EI6FQDDFN9cPevWh1SQLnlmWc3Mz/LvDn4LMZKFs0gFOuhfX1/wstQv77tmQd8LN/hwrszmJGlZpei1nhPsSepjLM/+XD2OPGJ5AfKJGEXrrHg31lFrj4ST0/9/zcHzD1zhcw9Ofnyh9XCb56awXJ00pppyNXG96n1mAOsbwOtPeH7gcQeMRTHQOo2dofKSiZVdCB9gFgbVfZoqZlwjJ0oLvEvfGBxGJnSV9m32bWnwUrNw/7URidqI2MsbvA00h8H8ArAN4L4ATG2HpRZJr4yHhZfI4E8GHx/QGpzmcBnAHgbACvATgLwOkqh+HbF2Y3NyUlyS7eBBAXyzzmiKfFUXgnQBHDnQVJKzewkWuhjKVbvGX8L+AL/wz9szcEiWCJF7WfGMqr0kVDvGCL5YMxDGzmL/b+19YETLe8ofwZ8noF80JboDvnt4hfcEuwnO86uv/wH2z9xBXQ9QqpGywGEgJUvD1oQ//a6xvx+lIpRzCzYHV5y3ET0jICj+hLCptYbVNSIgxl8mBXPQRs7HHCw4dC9EnstQ2IPfams9kmhrJ2t1DQsf7Rt3DE2bei+MYmTzXxoQJqN0paTIuhb007Go67Ep3/fSt4WqM0yQ6Yh0oC88ZtnUhv6ePtKaF5AcC1VHcvBuZ/F+ZTK0qXE201t/Yh1pNB8mdBQu/UBzhrBebZt8D8wh88RcJSZtjachYLmdIs73hct35zmWiLzPPPOWeYE7//ObQsZ9wA/N56Fnbsa9MIyBdBvRnQP18M94OTIgoXCgZW/O0FbFxbIXIgY8gu3QKc/XsUf/KvimWtHi6cW794oGJZ1sGfH7ZkfXgRx59Z3LgzbwL++CxYX+nFF1gMGMgBD79Rej/gWTeqaE5qMcSFOaa+uQRJYe7/gSeXl63OT0jiWT43GVEJ3Itrw0m6b17RcnZ9EQjQ+hILFYDHpy/04HIaXd9xmk2aImiXzZ4KBBt2VRbQOQBs6wcGy5N8vijEv1JEU3va1AvaFu5XFeiXviywqh2spPnujgVj7HrG2AzGWIoxdjBj7Elp3wLG2AJfeQr5zPCVuZsxNo8xlmSMzWeM3bNzrkZhNKD36bBADjEk8EcmKewiIscLVFCQoIjhzoKtMWQMzY9x7QY6vC8wJmnKLIsBC98Anl+N3B2P+8qVIIZ+YVcSLi3hW5jc0O3mBxNwCJ9lwSwIwYdZQW2lT5vS99nfYNmplyNfLGUGF9pMt5jPVCx39T8RW7QKxVWbKxzInJVkK8TUrn5NJ1oWr/O029zoColZPVs+ubncNi34iJBkEmjkdDSJ1X6jgv+m1R8UnhxzTklo6enNYNKDXFiu8fk+zb75Sez/g3vdDRYDvboJ8UwR9bc8iQD8iwprO4EL/ggM5HjeR8+bw9UYph5/Ewd+9x40v7rRG/DFtAK+Tdm/8gXp3ru8C9MDAzk8t2iVt/4tZTQW4twAHBIXe2EtYs+u8gh1uqV7zWAZwAYEYUj4cgfabQYAAvo7ezDuuF+g92cliJNs5ihdZ2EghJD4BM2B79wNHHCpp8+9kUZd31RL0lSFajClfjA2dGHfn/wbdVcvDG+z0x4L2TXCFPG1jeXba1kwu0UbfEJ3JlNAl6x1YYD1BCdQZjo8Hx5JOQeZ7t4bM4wY2v1jMeD79wBf/3OopimgJfrHEhhfuAXFbBmyyRjM+jT//uibpcuJsrHeKjSGEhlkJfrBg0093ET1pyFjzedjqOXEGKikwWIAKhCZgNaQlfheCc6CYXStg5UMef587bHshbUoqTDsY6MQwyraCQCWIOxWrsJCpILCLopin5f5EbjGMAn++OpZ5WOoUD0UMdxZsHNyyWaS97/mLSMJQnJ0uuIav2axxAvQL1TIL1NpX1EQlGw+j03tnR6NIeyXZDkzLyEsJZ5dhZaXNmCgp3TkK2vAFeICIdqZlxgmB7jAY3b0lT43ADBAG+Iv9YIeFC72vfxfmPvbR53fpmHAWMH70IprGNLLmzExxtBjB52JhaQWkKKSxl9yNShD3b2l67QY9JfWBLbrNsGR+oaKJsY9zQMxmGPqPOVbXvUJ/BZzfNbinUETKlb09rl1xf3Af5ci8wgXmrOSBoYkQTC+ipvizvyT12Qud8q1wL6unyYshrwgY8wnYHWu70T9atdnilkMTJiyWfESU0+JtAfM59MlazsZY8Airq1kYfVKdRbaubZl/F0vhp9fXvzIuS9dTWhPPUV9z2Hjfa/w0/XIpE9aLBACMQGwJEJSNtIqAzShpWp4JYTs+Q7RiryfrDChWyI5nnuRTniKvfbGRqxcJZliMwbc9zIAQG+qDT2xG5UUYEPu9bAQQk327WAMuvDhZT3BZ1JegEG2CHz378BTK5B9fVWgrNzW/PhGfvxrm0qVctpNmdKkQNdN7yKaRHJDLQn8c+YK0Ydrgppez+JepoBEr6i7giYyiuaMhQWOieTf6ztX1GOZ35qkPJzWVSCGjMF5J5pRCLNcJqw9fr4snt9S5rcKCrs6WE7M9/I2EFLi+2CvSnCvUD0UMRxh9A9lkMmVTgSuS6Zm8YGcV7j0mWra6NR8L3rDFZjeXLXO2Wz5TUltDQWRS/gAsDz//tSSN7DkrZUuaWXMCR6gha70u+YKMpHRJH+RXL4gCbUM5ho3QEKuw0ecTJ/5mUBxwLeKv6UPuP9Vt/2MgcSqeZRX+kBhEL3buJBm+oTgMDAGTLt7Cf8RQgw9aQck4UbPllnJZwy5hS8BAIrNPKC0nAJE1o7UPOJqOqjSarbFoAmTLBYmVPpMh02hmRnYwu9Fwcy7Pp3y+BMEK905BEhEp0YievwYC3EhXJOPvI279r/Y98euySgxBiZybVrxEM0CABLtZYmYxyzTTzo9vmYMYLZZWoiGVzZtNnr6Qs+7anU7lry01kMMt6yRckWX85Wzi4ihsuxZN7pi0eQBhBhjzqIQ0zTo0mIKWxsMOOLWzUBCsxGvZHpnMmi2Jt0vzP/1ReCyf7q/LYbkeTwQlZnyPhOzb34SR5x9q9sWxtDVzAmhXp/ylMWbm4G9voekbWJKBEvKp2rlwoiOOz/0N3LtnvX86mAp5s4PMnHs39RZ2t/SYjDF2LV6fWSzPweskfqagRNOBOcgANjwq4XoeMCdd2STUAq7Lh9pK6zm42ewNhksKxFLU9buhvaXhAgEj7GQXLkRggMF/dkl7Xn5M0rPTfhuGfbYjpLLkex2V/SVYsA6SescOj78pt/2Yq3yw1LYPcHEQqAuXj7228+ecQZ61dhWqB4R7GEUqsHjL3JB4pRj3u3dYZuS+vxNjL4sEi31vIj88iu6QrbpN1EUZkgMhO77noeTmtbvPyiZdNpkEHBNZ2oWrcLsB15zV6Et5pgpJUN89zz1SpoATWjt2rt78fxrS7FnNo80byD0Ta4/TM/mDtRObHWrkcLRy4LewNY+tMjnO+23ntV6WAxxoV2MR4oOaKF3UxfGgQvl4UXcvme64fgShUaFlPKrySv8silpxzNvoP/R19DkVApsXbcFrXCFUNkc0iOcSH5yxd4yZnMAwJhD4sOEW+ZbaSchYFPWHQ9D+hCaUk0ezbG8il4u+iazGGJiTGtF771IrvOZBzKGTMcAf2n522pZ0J9ZBcrb7SVYfVnnRcdyRUDSVnmEWMYwtKULjQBiIVERnfsFBrN/yJ30CjogSJGblsQlLex2N0AOhWgs/KaOLKaBDAskpThhsJB9fTUyH74CsYNm2pcGQ/J5NbuHEJs51le5qzHEkN2/BkzTQizMj1IUTq5oD9916T+8v6V7Wmytg0z3xj3j08hZQEKQ0phv8YG9uBYEIGUTOyJYA5I2VypfLBrI5YqodwRy5mggzeVbEVgqkKMqdw3Cpq+5/gzyZh418Rr/EYDFEBPjsNg1BJnyWpf8Ddrjy6C11ovGMWfhhcU0D2diuoHZf3ja25zBvNNG+fmRz+1WwNC1bCsmA8gDaPAVZZIp6UC2gDH29kq+i1FMKosGTF16Dph7XDmf4wBBKmVKurEbyPvmFX80X0894YSsYhRdxtycl746zFwRVtcgYvI8lYw7vufckkI6YFt/oA6ytZHbGWFWQWG0YInn0A1rxmHPU9kBNbYVqocihjsIlmVBk0iI84ITBC07qRm1W/pcLUtv1us7Iq2Qx/whh8ULLTmQw7xfP+JsDvhsOEIED3bhtE34Ec656UnEZU0MY7AGs4jBq6nSdRMbNnZjnCSsGn981s2Xo/OXca+IApjPF5xrHlrj5g0MCFOyaZtkchoge37tJWOICRO0RJSocgyoEXVqpQQrmZRLwpkWZu4kRWCkEE0sAOBT17ikULTZFlo0cS5DNiOVrplJGhxZ+xIKSyKGYWaUPvMqTbxI5HtRMAsiqIcr3A2197rCbIi5rlsnkBB1+fUiAXM7q4SmBcDQ3YtRf+m9iKXiThv6/viss0BghQni9r6VW9FoE6KQco7mybKAXqk/+7LAeH6XWpasQ3prv4ccT37wdfda/OPszJuQWuPV9LGYBhgWUh1ek978K5xoxV5ay+sCoEvm0pnuQTQGGi3OKy3WAEBHRz8mThzjL+0cUysijFKlNBcMMJNxxIpG6IKCtyxztJUx3/3ryxfhaQ2RoxUG4AmIteqh11DzykbUS/XGxPOV39Djjp+OAeDoK5B8lyDSGoF1u1rrhGkhq+fCiSFcranmn0ee5ubGCVsDbjHHTBc+bZmVKQaIarFnyEkerVXSGDKGRD/vh1jInEMyKZLGFuVLjPNSJA0MATXgmk4fgWSO9l0zeXAa//iwRNCa0JGQKQINUl8PBINW2YuLVIHrARWi0nr8YGVNpI/Ube5FomB4gk2ZGrkCjb/u7qHgtQmSXI0ZrILCrgRbY2jPIJqYD0j8Nw01thWqhyKGOwiGaSIZpp0SGg1DmBfZDzbe/RPPzYid+hvne9wvWJRY9ZWFsP7BjKvRIHhMlCzRBrMm4SGGzLKQ6+Ur87JQteyRNzD7qoXQW4S/G2PoX8q1XwCgC2GGeoaw98/uR8FZkQew1TUf9RMFZ9WcAHOlSyAr5gizGCxhvurXYISBWRZIaF0orO96M15iJpELCqtfSnAv7/eb8nrawCynreQnhsdf5WhdAYAk89VYvgLxZQwkiGFAEIZvsWCo4BDjmI8wDm7d5ghhhqkjJhOscuRbigLpJ9EUEgzJFqg1H9ksCv9IJxIiY6j/m+QHWIYYFl92fTdDTW9tbQljQL+7yFAYyCMliOHc33Cf1MH3zBHnB7oOnYGxL67jP/33dsk6r6C5udfp09m3PwtccpKzq79YdMmQqNts73N++jWtACQCwByNIQBovRnAJoaPLQUk8iprdkMXCeTqc0UkxP3xmwD7UcjrSAli6B9jhn+OI7hmvQAs6fmY9YuHkJbTFFju85WUfC7Zm5tBAJIvrHXqJDniboGn98gbeWiL1iJx8GxnV1HXnYUlf1utRByaUfRot5LiWdRMxvtcXE/gfgOwBmVT0goaw5zuaF5jIXOObEbp8Z8tSTi9WjajLoV4psCdi/y3Omzxy25DiPafMQazva+02XoUk097DPtJ1mA+SOrsZ99vit2b4YttIecNCQHG/9rPCfMSPGaVILlOAeaMD62aXKEKCrsQLFvrLX7bi1nMJoZKYagwDChiuINgmhaQ4P+7+1xNhK2pMeq48VaYAAIAmhwUwSfgMNMKfenZJKD9jTXQP30N8gdMdzQRTDKxs0qQKd3QURR+OWRHZYzH0PLfpajd0sd9/QC+0i6ZOBoFLgim/7kYNSvaAbQ75cy1Ha75lUQMuc+V6/dibJVSMMiEIowQMAbNNmWNEmpc8kkMDRrx7p96i0vn9GgGGAM78FKk24QuTSMgK+0vGjAtEzEtxH/OAlJiEteEkOYEntna57mfJBGFisTXYiChAQkQw38sgfasZBYomTim5X7403PAz/7tmBMW9aJrSosQTbQEVtAdYuMnggESLpnuaYbljC8AAV9OYoBZm4KVKUAzmSdyYNeTy1FcvBaTxO++oSE0ATDSifA8cKLfyU6PYCOkrKzJiWcKsGLESUMF8pT/9ysQsTCRm9AEWZel+wRushjMjn5XIxUSzdZpB+PaERux9kHATmktfAQdyMSwkqwraeHDFhQ8Rd/YiBnCtNx/T/0EH4An/L9sGhnzjyPLQkq0OS6R30ym4CXSICT+8ZL7U5jMD6xaD3zql9BOPtTZlTeynDDB1cw7p0vEAFkBzwBNNj0umkBaEMMwsi65AWS6BiGHhVr11DIYm/swz94gBSuikCTTstuAJvWp6Sdn2/qA7gxILCTamjlHU8ZCNIYhYEWTJ7+2WEBjaDErECHbMwdH8Gt0Fhf8RX05QC3DdO7LnscchvO+dgEu+uZFvA5/gCePBtZ3PRSyXf7uM+sNQBqjUWjh4sWLceihh2Lt2rWYMWNGhCMUFHY8WAliaEuIihgqDAeKGI4gZD+5bL6AmnQKb937JApPvYU28YTaK+RmnXjRRzGF9JPHEiu4NsnMv7wGNX1ZJB9fyncQARn3RWiWMFcy8jmMXbTWrS+vg+pjoS/W+GAeVjwGzTBhCtPRUDOnTd0oNtcg2ZcD2bkULQs97/uB80ZmIOS2SAKEJKhm//I8AnEQLeYIf37TtlAwN4qpZloezUAoOqSUChJBMjoHES8YiG3igjojgpXJgxHA4jxYisEMxILeUpwUSbkRecAXBmaaAcFEJlixCMFnUIoYfvfvnpV2q33A+e0xgX1ulbcNjHk1hqLeMFMzJgWmCRBDv3DNgEJvxjFRdcYXgoFcwLhJYLG1HumOQQ8BH/vl273nEcSqf+9JaFopRdPMFjDw7dtB/S4hJokQ2aa/mzb3YIrYFrPNIC2GeKYIvakWqR6vRjksmmKByCWGE73EMEhWGTIbO1DTkEZiMA8mLy48uwr4/K1ITmt1+oHecNO3UBmtNEkkLVQLKbdA0tBpFaSHpsVu5N2Yb4zF/dfGvBrDctpmspijIY7ldT7PEKHoJ5t+jY7Qome7B1ALwLrP1SxnB7Jo2cqfXz9pZYFUCsyjoWMFHSSCU4Xle7UX1/T6VGDBZs6X7vD81jf3OP6NjilpxwCgEd667yW0bOlzxkjDr/7jHDfYMeA1QfelFLGJoR3Vl1kMFB7HyW23YXjIp0ygrLC0RICjpWYawdLNsBnNRbbovCNkrV17ezt+/vPL8MCTj2JT+zaMbR6DvffaCxd8/DP40JHHBEmkH/IYjmDu6TEJleeTkPelWZSuKUrEVgWFXRCWBSdFBYETQw3uo2Wqsa0wDChiOIIwTQuT73sF9Ws6kbtpTwBA6w/vRnwoD72RiwG2QO5oDItGxbDd/v3MCJIJAE4OQs1P/Agen0VWghhqklkaL2eA6oHJD3i3gzEkhvIoNtcg3TUEs6hzouN/AVsM1DOEwvhGJPtyzkox68vAXCsFySCgZ80WNGjECYIkfOr+lWwAKJqOiWWoD6AfBQM1SyVTVcMCkqWJYeJzf+DNj2lONNdMpoCVTy/HAXJBIrBMkUd1jJGjMQzlhb1DSInE1MQYijqv1+zLBh9C2++qraGyxpAxpEQexTDtjaeoIBh6Qxok+QnldNNLvpmFeLYIK6ZxIi0EtLXrOjErcF1ccLXiWoAIBkwULYaUlFLDyhQQEznnND+BsBhieR25iU2cGJbyvQKQ6xxAIwC9uRZaVodlMWgaofjkmyjc94IbWMVi0LuGHF82m5B1P7vSIYZpe5wwhvhQAXpjGqmejNfcLyxiryDS2YlNAa2a30TPMk1oPRnk2+p5UBfZ//fSf0ADzzdqt6PYPQQ0ppEcyJdfSHrajYZa8bkQJp3F5pqAZi0ILlx0vGcOWn0J7iksCIkcfEaOLOuftEwLCfF8k8U4iUwnSrZHr08hMVRwFsr8kWoBoCDqM1PxgHVAIMee7GMIgBUMd14tBMlyQuRGLY6p85pih8AS5LTQWgfSRdCgo68A4Cp8bcQk89pShN4TIAxwUtQECFOI9tfMF6GBa0w13XSOsZjlRiT2gem8L6xkvCIp00SfMyJ+/xnDuvXrseCoBahPpvHjr30L+82dD8tieGzRM7jgJ9/Hqv88660kLOrv1j6+S6Pg/sAKFa+DxTTeV77ULIHi4hnlmlclPCvsfjDyGcfD2I5KGiMGYuT4HKqAuwrDgUpXMYIwLBPT7nkJLa9sBBNaDE38TwgTttQyLsTrQiBmBcNr3iag16cwMGccMlNbPJqYpWs2IDMUTMpsxcg1EQ2QKYK2ut31a7R93Xwr8abPnI/li+gJyS/G/coKKIoQ9tANFK1iUOtTMKBlCigK30Q78XWx09c+IiT6stAbazgZqyDUksixVmxMQ/OZaekhghG9wfOZWXa+vShkEkB+fKMTLKW/sx9zbvIlkNe40G+l4jz9QtGEwcLrzv7tGc9vIy9yNnYF+7dbCER6Y9ohht09Q+gJScYdk0Ldk8lcX6KNPYGyVkc/zGQMg7PaEJPMSot+LZQFJHJFGA1ijIr7NhSSUgCreACW/LjGgMbQH+iHgSHVPcTvMbwBZQbFNTvXwhi0gu4sqLBsEZ1dg3huUTCH3fgneVARvTENzTBhiOuxAqsnzDP27AWS/X/opnFwxrBlIZ4puHn77HG1tgtWSL5Isv12a5OBXHPBCJZ8YcXxxZXI/5A/nYrFtWmGmC/sPtZD/NYSVy90vlcihrG/83QshZa6iqak8cECGAF6U41HKwmEXBtj0Db2OPfYozH0zTe1P38Aya2ydl74AfusAGyN6+aT9ocVI2ehgjJBE9zkP+yUMLUeEsRP733dUcFErZQX1JLbGqIxTD2xHAD3za6UT5CJ8ZxvawAVTbyweE3Z8jYC983uMsnEmWnkBgzy++mFjAvLzm0p5j/LsmBYBsxcni98rQqmSzGKBidk5NXEGeX8qEX9YAxfu+BrAGN4/i/34eMfOAlzZ8zG/FlzcN4nP4slf3swGB2aMfQPDuArl38HkxccgpYj9sGxnzsdS958jZM3BnR3d+PMT5+JmdNnYsy+s7H/qe/H7ff+za4AZDIcd87p+OpPf4DvX/YjTBw/EZMnTsa3v30JLElCLupFfP/Hl2Hm8Ueg+ZC5eM/JH8TChQs9zXnooYcwb948pNNpHHnkkVixYkXJ61ZQGA3oAz1g4EK8AT5VJIivS9uzgCKGCsPBqBNDIjqPiNYSUZ6IlhDRkRXKHy3K5YloDRGdu7PaWglyUnq2rRcDmayTzNmGHcJfbxIaxKIBqz9IDBNDBQzMm8BXuSVhIX/lP6A/tdRTdsW5R3NTxqIB3TCQuukRb2Uxgt49gNwEbqRkCbIa9xHSQHCYvI4NTywLtI0ME/FsEcUxQmgumjxJt28W0oS/YqFVEEM7gtbGoCAS68ui2FQDltAq+nNpL3Ahq3+fydxEionAEQM55J4LEgcmVuS7Dpsl2iEJXyUEvP75EzE4Z5wjlNbd9yrq13v9ZRJ9OdQ/+Do03YSViIGKhicFhQw7/1tmGo+zaRYLWLWmHaufWh4oO1YE3dAbXGLYfs9iFL97d/DaRF5Ch6QL4Zb58w0CsHoyMOrTsGoS3gA7/gVzxjUpuiCGdrCd/S7/V6BOY+Eb0BvSGJg3oaL5IjEgli06Y19OpTHlX696ysYGctBMhrztz5nT0dExAK2MYGomue5Vz2WRNwro2bLVW4BxE+Siff68DuvNzf5qAACDPRnE8zr0RrsPTBjdQ8AJV4M+dWPw2gbzMGqSXCvjC8Nf/9cXPb+1oolUd8ZZMJEDGAU1xAyxggHDzh8oxu5WKdeljb6DpgMAti2Y6yF7RpgGToz7zPSxFYPPxAZzMGuTsFJxfm3SM+PXhhID8ms7kZvI5xpWhhj6tcQsrwOWhfpbvAswmjiHWZOElYi7JtlDQWJoazTtMQbdxJq1HXhu0apA9Mm4WDByzi+1h5VJfE+JmEfLP5QJ+jnHnlsNMx2H3lhTsX9tmOk40n6LajvIitx2IpcwygFXABRCyLI9L9t+iRYzudvDqg4ewTTkmdKY0NRpmqNQK+oG4iEk0obewMdoT3cPFi5ciHO/8EXU19YFyjU3NnLCKV+naeGUCz6PLR3tuPc3t+CFu/6N9x5yGN7/xU9jc18XiDHk83kceOCB+Mff/45X7nkYX/302Tjvx9/Do4v4ohtZFkCEvzzwT8RjMTzx1BO45tpr8Jvrr8NfF7r5VL/ww4vx9PPP4vYrr8WS+/6DM0/9OD784Q/j1Vf5HLRx40Z85CMfwfHHH49XXnkFX/3qV3HxxReXvG4FhdGAPtTHNYbkRiWNw0sULQaVp1OhaoyqKSkRnQ7g1wDOA/C0+P8gEe3FGNsQUn4mgAcA3ArgTADvBXA9EXUyxv6+81oeRKGoo3dg0A25PpjDYy+8giNKmOGYTUIbUzSAj1wbXkYImnEhDBrtvUGzTgC5Sc1CY2WguKkrsJ9pGhKZAjLTud+Snsuh67aHApoC26+sd78pGPPaJrC8jgO+e0+gPq1HRMEUER1RNFDY1o30X5/3ltvGtQGpWRMAvAkUdViDORTu9OYHg0bQNnWjOKEBqa4hDxEORLYEQBt6YNQlHaLLigbo5ieA6x4Nhv0HYAoNj01krbzhroiECJcAUBhbzwXhvA5s7kXT7x4L9oPov7ggO5wYmrBCtA02wezdbwrqNvTAKBRQf/XDmPDfpYGy9YLsGXUpxDZwzd9ev3w4tJ3FgRzSADrfPZuPjYIO1KWQae/3BfAAMpt7kapLwYpprrnjui4ku31aS9NCLFd0SVEZwTa9pQ+Z6a0wU4mKWqr4i2sRK5rINdVw80zRJ7lc0eOTBwDJ1Z28D+a0AQ+DazZMC4d8/S+l6xfatr6hbiRS9Uj86B+e/WTxBZdiSx2S/TmuqfvMTeF1iXHhkEjdxJuPvon9ET4mG+59GYXWOrCYFjAz9GuX6oXJp5WIcTIracjiPg1c+oW1SPZlMSSeXZtMTb3ozkAbYpkCio1prrUUZLCnN4O1i1bhYF9ZvaCjOL4RLB33EpeQa4sN5mHUpRyNE4oGUJMEDBNJyacTAMAYkr0Z5Mc1om5Tr0s6+nOIV0i9wgoGsHgdYj6NrD0vGbUJrpWy/RJ/8UDJuuz7hqKB9q19qNvYE9TkCsuKbQvmYsLjy70EKYxgAdhw6kFoXtMJyhRgGCZ6ejPoeW2jG3RGICHMtrV0AqSbaJPMfEvBrE25zxBjQKYASnuf4uzND8NY2w4k49ALOlg6AdII0C1YxDWOgaWFeAxkmI5POKtNcmuREtcICBIpfD5jM8cj9YvPwCqTU5Vbo3Cqt2rlKjDGsMes2cGCBIABVsorejx+30N4dflb2PL4EtSk+bxz2fnfxL+f/C/+cu/f8a2zv4zJkyfjm9+8CKwvB6rpxayPfQqPvfAc7nrwPiz40Pth29XNnzUHP/jWJYiPbcCee+6J31/7Ozy26Bmc8aGTsXrjetz14H1Y/sQiTGubCBDwlbNm4/FXX8SNN96I66+/Hr/73e8wbdo0XHvttSAizJs3DytWrMAPfvCDktevoLCzYQz2ORpDC7bG0JY3+bNoMYDlM6BafyZVBYXSGG0fw4sA3MYYu1n8/ioRfRDAVwB8J6T8uQC2MMa+Kn4vJaLDAPwPgFElhuu3tGPp2g04Qvxmg3k0dAVJGgAYNQmkZ4/nPwpGSZ8amxhSwYDFLGx+eWVAgAb4i58lY2BFA/2PvxZyUxniOR3FMXz1Vs9kYS5cEQjqoglBofPdsx1iGIa6xziZYfbLXTdh3vdSwLUuuZQLR+bcyby8bmDbj/4P8f94tUMspiHe3o/i/lPAVnVyobZnCFj4BmLtQR9Da00nCuMaXUFVN6E/+DoSgZIcDjEUWjVWNLhP2OK1YFcvDPXXJMOCmYpzc8bHl5Ws22lTIsYJlGmi/Wd/DvSFHf3QNs80c/lQUuhpdzpR0ZfJJgqORskuH6KFbnllI/rnT3T9cADgQ1cHxlTDlQ952grDLEkOE4N5FJtqYCUl/yUiTwRUG6m7FwNwtaesoKOYK6L/W3cF2mDngOsXQVhYrohxdy4qmb6jb5/JaGjhQjTTTbCBXPC+Mh5QJj+1BVjbBZbTw/PRARj7HDebtU1ZYVgek9MwpLozyE4eA81O4L6qHfpl/wzkd3SgabBSIil30QBe2eDNKwogJQhGUlyMZljAmo7QfHHx/hyM+jRY3L0XQ2s7cfA37gqUZd1DMOqSDllwEBIFODFYQHZiE2qEWS3L61i5uQfN1z6CcT4NUt3iddAKBgb2GM8XqwoGtrX3Y+xHf4t4iYTmm0/cD5Pvfw0sr4Nd/s/As5MSc0BhbAO3oCgYQF8Wyb7SRNO0U+sUDMy+7RmMeypIzEiYcQ/uMR4THl/O57uuQT4nPxNO5Kx0HBSPgUwLLy7hmv2Z9ywJLdtz4DRQKg5NNzHnlqdKttVpc32KLzroJvDTfwHH7wUnopGn4fCq2woGYFqlzX/sxUkpkmfFWKZMHCCIHGUKSIeYUDvQiBNUSBqKkPcaI4JRn3LPbTHgzc146fkXkM3nMGmBdwkjXyxgzYb1AGMwdQO/+NYP8LeF/8aWjnYUikUUdR1HH3KYm5KGCPvuMQ+mYTrvwYkTJqCjh1t7vLz0DTDGcOAHFnj6pFAs4n3vex8AYOnSpTj88MM9rhZHHHEEFBR2JeiCGBIY7KgTCfImu2cMQKYXUMRQoQqMGjEkoiSAgwFc5dv1MIB3lzjsCLFfxkIAnyWiBGMsQojKHQPSyOPvUewfwj4/vT+0bMfRc0HC7K2cP529Qk6DBVjMQn5jZygxtOIaNyUdyiF+6V95tSJYBQCkhflqXJh3oaDDCvFFsU22bH+mUsTQ1kZsefdstP59CaCbGCoa3mh6AsXmGmBiM29n0UTutbUBrZ5WMEC6Cauljudf003gh/8A/rsUQUMkINE9hP49xqFR+GixgoF8XCtJ3hKDeZjJGEzhY4kV24APXc2vpcQxmm6irrEGmsmQ0agiMWSJGLSigczDb6Duj0EhsE74MtlBhzpWbsP4EnVZMUL/3pORbkxzzV6Z4A8OMawVZCuvI/fqBicghB9maz1SdSlvgu0SGJzZhrHPrwEzTLA7F5XsK72phgepALiQ+n/PAVc9VLJeJlJUsLwBc0V7WYKcFYsZvVv70LSms2S5ngOnYaxdb9GAlQsmKI+3DyCeKbgLMfkieg6chpaXA8YJTrTN+uljxUVG80uNpxMgQWozVzyAehGwJAztR++JtmdW8iAq/3oF+P49JaM/Oj5ZeR048ZrQMrVb+tBz4DQnYqVZ0FH3p+fC2zlYQH5cI5L1YiyYFvDoUmBR0I9Uy+s8b54YY1bBwNQv3IaakEUbezx2vncPbhJdNND18OuY0BP0j7UxsMd4TAYPRpRYHX6PrXgM44+aC+vGJzh5KjG+bZAwQbbyRTS9tSW8D3ozsOKaY0nAckXg+KuAvF56kSmd4HOUYQGmhT2vf6xkgKhVXzgSez70RnRT0tok77+nVgB3vcCJoQ+1X3w/rHQCbHwjYuu7YU1rAW0bCNVi27BqkqC8DnN8I+Lb+sHmjIPZOYh4yOKRc0xcg5VKgOIatME8rErXEI8hJp6/ObNmg4iwfMUK4F0LPMUcH16bdIl2WxbD+NaxePQPf/WUN+rTaKirBxhw9VW/xDV33IJfXvxD7LPHPNTX1uIHv7kSnT3dLgklIBGPi4UTxnNlgpwcn5bFU3U8++d/IlZfw010iZCcMR41NWFvVwWFXRN6f7dHYxgDkNKYx2KAAWDZPgDTdn4DFXZbjKaP4VjwseyzRUI7gAkljplQonxc1BcAEX2JiBYT0eLOztKC5fZCI/JEhezc4G+mC6M26YZODwk+YoPFYlxjqHONYayEMHTEwftyAikl786Pd+mXLazp+4rYizkderNfXwjEB/LcvE1oAsv52WQnNoHZgUF0A7ESZkn58U1OIApW1NG4gvfL5g/t655XHJup4UIX6QYKZYQWALCmtDjkmhUNV3sYgsSGHu5bJwSX/KNvlSxrI3fqQdBE/aG5DyVsPXY+WDIOKpowQgi3DFu47lm5rXQhTUNuUrOjmYDf1FOCTfoNkf6kuKYTtWfcgNr/ez60/KZPHgYtKeqt4HswMI8/hqRboJ/9u2S5YnOtG/FxdUdZUggAg7PbAHCNYezZ0iZ2xcYajJ/eCiseQ9JibsCNEFipOJAQ01nRhBXyXNmBRorCzxMFI2C66YedPw4huejCwBIxTgQME/UltE4AMLDneBRb62Em4yj0ZmGVIC82ipOa+ReJjBXGBJ/hrsNmok5oTvuufBCtvkjDNhKZApK6CS0trq9oAF/7P6DEuDHqU6A0fx6sXDGUFDptbUxjaM44x9phn5+VNvkE3GihYYGYnPPXJpDVDd6/RQPswdfK1qkJYlgcKsCUAvoUG10VXCynQ2+qQZMwiWe5YmhuS0+99WkgzjXutVv60LpkPZrfDL93Zm0SSMQDAXtKgaUSoIIO0+fLHGwEucTKYhVjapJpcY2eFMg0Nuj1iyz63geaYfEFR40CvpmhiGvOKlvLmDF4//vfjxtvuxVD2eCCwGBHlyjr+qseOH9vtHd3QdM0zJk2w/nMmjUL48a1AYzhmWeexYlHH4szP/xRHDBvL8yaORMr14v0SnY6D7GAohHA1ncDS7d4TIgPmLcXGGNo7+rEtH3nY9aMWZg9bQbmzJmDyZO5Zcv8+fOxaNEiT/qp558Pfy4UFEYLha5O2Osf9khNacxNSQWxPVd+EU1BwY9RDz6zo8EYu4kxdghj7JC2trYddyIij5lbufx6Zm0STJCOlBRJ0I9iax2seAxUNGExC1pnf2g5LRkXmkX3Ze+YwEnoFEI2Crrj4+FED7Tr0k1H+0MbSgsoenMtNNuUtGhCKyHU5cfWY+LkcQAAJvkYFdr8HnCANq6Rt0+3MFiTgBXXUBhTi769JwXK6pOaATvKqAj+YuOlKz/uKRvvy8KsSWCs8Ek0U+X1f3pDGvkDpnJhB/AkQ/ajb5/JWHfm4Txdg2568/+FoLWNk5J4Cd9GQNyDuAbYxFDkTQSAZV8/zltWCLLO/VxammAMzJ2ATF1S+BxZYAOlr2vTSfuB7Fyb68JNom0UW+rQOJYL4qw9fIza6Nl/KvrEAgUrGEhe+0jJsv37TMLkSWNgpuJIFw00hGj2bJjJuDMeYrc+icRnbylZtuMzwixsqIDaTcHorTKsWXzOoGzp+2Wjd78p7j3zkYXuQ2Z4603GMWZMHaxkHGSYKGwsTwY6P3YIT/cgJbtf9cWjAuUKYxtAYiw0/vvVwH4Z1Jd1F6gGS48FAKDmWtfKocxCBeDOPSwRK2sRAQCvf/8kN1pwiPmxDSuV4DGmkjHEOgZANzwOAFj5paMDZTeecgCY0MxbRQP5yWMA8HnB1lbbKDbVIC200n4zWjMVNKhpHN/Inx/Twj4/Kb1YAoCns0nFA5GTS4El+aJCZktv+XJEUrqKYCRT2/faaYY9nwhmSAU9EEGaxYKLLiwZ48cwoBL7ZPGYJ4XGr3/5SzBm4fBPnYK7H74fy9etxrK1q3HjX/+EQz76QactTJC2Yw9/L444+FCc9vUv4aGnH8faTRvx/Ksv4afXXIlnX1wEYgxzZs/GY4uexTMvvYhla1fj6z/9IdZt5gGEnFyhognEvMGJ7FQpe86YhU+ecAq+8MP/wT/uvw9rN67HktdewVVXXYV77uH+9Oeeey7WrVuHCy+8EMuXL8fdd9+NG264oXwHKCjsZOQ7Oh2Lb64XB1JkE0Pm/DWzfaPSPoXdF6NJDLvAzaH9FnXjAZRSp2wrUd4Q9Y0eRHh9G35fIRlGbRINLV4jyYE54zy/Cy11GJrV5kS7zN/yCOr/sTi0PkomwBJxkERgHNM+gWJzLXTDdHx04r05FMbUBnJ7dR4xG83juLaxuGyL53gZemMaWpITLK17CLX/fBkAJ4IejG9CXb241j539dj0heW34hoaj5zLhS7dQGKogOzkMXjpqk9g9eeDgWp7GlKguEsM7YE8OGccCi1BA9Suw2cjLrQ//oTjSy96v+c3i2l8mhX1xxaVDjVv1CS4AJiMg4oGNCFg50OI75vf/pDTZ8kygRwAQRwTMRADNv/nDWe77Z/nR7PQetCG0kTHTldCCS7Ysgv+CABYFdK/vQdOQ+s4XmdSaJ02nbQfug+eHihbbKkD1fC6dckPyagJEvDCuAY0Co1WmD+bp94xddCEH55WxhQREFonQTDi977sbPcTsnxrPfqzRVhxDfEV2xDPFLH2k4fh1R9/JFBn9yEzwCY3AwBYGX82G8sveB8Q0wDTgiXShWxbMBev/OTUAMkw0wmuuknG0LiqAzUhPnA2Oo+YDaOBB39JCE3dppP2Q3bKmEBZozbpEDizxvVuXH7+MYGyaz/7bmeBClv6nO19+0wOlGVjGwA7+bt0j1//wUnYtmCup6wdEdSeu2z0HDQNuQleQ/JiSx2m78GndLOMFtJMJ/gKeDLumOoCwNDMoKHI0Kw2aAl+Xdr6brSIKL+FtoaAZUGxpR4poXnt39YPQ+oz/xwFAGx8I9cYGmZZ/18zFec+aolYQONmpoOEc8nVpwtts+XMIQCP6Mw0H2nTyPV/81koWMk4LH+7GeMk3T4mJD2SmQ56wjJNc8meZF1ghjzXEPMgb5OFWWYdFt35b7zvvUfhe9f8HAd/7AR84Iufwr8ffwS/+s1vHJ5pm3gSEe7+01045l1H4CuXfQf7nHIsPvWtC7By7WpMnDABYMB3LvofHLLP/vjw+efgfZ8/A3U1NfjkCad42yEitsr5PplGsKTFwFsuvxJnnfJxXHr5j7D/B4/GR79yDp588klMn87ntmnTpuGee+7BQw89hP333x+/+tWvcMUVVwSvWUFhFJHv6AFAsCSH85RQ3MfguskY/aMrGivsfhg1H0PGWJGIlgA4HsDfpF3Ho3QgmecAnOrbdjyAxaPpXwhwGU82S0sUDBSba9G37+RA4IOWaWMRq/G+iFd89VhPxEVbOLME4Sj+770lz03JOCgZd8w5B+eMQ6rBqzHU61NIJuOwknFonYOof5ELSzZZsNF7wFRMEGaoDSIC6roz3oWaLX1OvjiAawVaRbmEyG/XP3cC97eRtIdsfJOraRCJwVd+6aiA1q44phZaXcoxxYtlitwUK6Y5PlOe8i11gBDW6YU1aHplI/Jt9Xjr4g9y4dxfvrkWsE1PhWC0/mMHI9U1hKwQ/m1YCQ2WxRxiWCOIYXZyM3oOnIYp/3bN2GwhjJu4mY4576s/ORWHffmPnnrzbQ2Or9j0v4WTfBuxouGYRk6+1Y3iWhgb7kRe28zJsCblL9zw0YMw7Z6XnN+2fyPiInG9CO1vm6HKYDENTYLAGYwhBmCLMP/1JzkvjKkDE/dW1vq8eckJ2P9Sb8AWozYJzR5zIqdgsakGyf4cN1uT/XSba6FpxJ+BbpcYLr3weMy/5j/eBhMBggzoe4xHQkTL7Nt3ClolP7/CuAZeZyLu+LMNzJuA7NSWQB+YqTgSiTisGEHrL0/kzWQMTGjuNcOE9i0e8GXrh/ZFfnxjgGSYqTh3HU3GPdrjDacehHHPrES6QyLYdSmuLUvEERf92/mePWAlgtO3WZcCE8TJ9ql94fozkQzJgak31qC/cwhtAIprO5EE79vMjFYccqE36qk+vRUJ8fxYEoHLTGvF2IR34cTRGCbjTs5BABic1Ya0j/yZ6QQ0MRfawWBWfvEo1K/rwsT/uCbfZk0CRJxsxgVx2nr8XrBCSJZRm4Qmtsce5mk92o/ak5/DpynLTW9FvSCyma5BtEm+dEmfOfvQjFZYe07k5u4VzMvNmgTGj2sEQrSOWz6wD6b+8xXnd9fhs/h8luDRQzWJuJnpBCdncrs1SWMoNG7FphogprkpZnywEjE4SkFBmjLTWkCmII0hZuWyZtIxxyRCsbkWNTmvZQAl44Ap0oiIhYOJbePw86uvxrXSogPTCNlpraCBHFY++DSsupQTHbW+qQFXf/tSXP3tS53yxclj+EJe9xAaa+rxt1/dgOyUMWDxGGo3dAfu58OP/Afa8m2OSXB+fCN+c/sf+AtamOgmEgn88CsX4vu/ugJsSy+0goHk/Kmeek488USceOKJnm2f/vSnQ/tWQWE0UBDPmf3kEoCkBgDM46tu9JZOMaOgEIbRNiW9GsDZRPQFIppPRL8GMAnADQBARHcQ0R1S+RsATCaia0T5LwA4G8EANjsfW3ow9lk3cEOiaEAr6Ig3Bf2AWGMaaekFvu2YeW7eLRvihWwlY2UDCwDgq+PJuENMN37kQCR8EeSMuhQ0IljJGOKSaaJ/NdqsSYJ8q8fbjtsrsOqtja1Hy9gGWDHNiRy64vxjUOdPrD6umQviMQ0kNIZmTTKw6mzUpfjMFtcQGyqgfmW7myogxH/QTCccU8/45fcB4Cagfk2pe10Jh6A2Pc5zB3YsmIu1Z7/HJUx2n8Q0JBIx15RU4NWfnOpG6rTrTUnEUDehre1Cfmx9aDusVBws5a3z9R+chFcvOyVQlsU0IOa97ld//BHMPiwYAn7Z14+DJvrTJoYrzj0a+XFeEun4jvrM6cLa2tjaABLa5HjXIKw4D94TVlZvSjsaQ1rqKvuzIsWCpw01SbQIjXRM5JFb9+nD8PIVp6Hz3XM8ZYtjakHCHC8uaZv7DvAKcQDQduRckJ3AW5g6rv/4Ieif73VXzk1swry5E7lJoiiXF+1Z/zFvREQrFUddXRospjmm0lZcQ+fhs9B+9J7esgm7bzWQRIZsP8CB+RMDdTMwh8wCwJqz3o3NpxwQeCaNuqSj9bFJpFGXDGj77e32OI8N5DE0cyzM2mSo9suoSSJZL551sVCUn9gU6q9rTB3jkBxDJG/vOnQGWCLm+O7a0BvTmDmjjc81EiFl8VjAJNFMx50FG+oZctoQmJfSCUyZ3AqWjDs+0337Tg41Czdrk4gJzTxbuQ1GXRJrznkPAPB0OBJyrXXQhN9v3YYeT4RWv2YvO7WF37NYLGB1sO3Y+Z7fRk0SM6aPda7NxpsXfxDdIp+qDedaRVoJ6s/BTMb5GEnEgiRUk5IAin1WkudM9OeKtGGl4u4+211A09y5NeQ4K+lqGTVh4ZCZ3gorlYDemIZeL82FEolkkk9fYL6wzVkl7aKVjCM/riEwLwEiP5ttoSrujd1f/ndSoa2B10sukXU09UTITG91ozcDQIxcU1kFhd0MhpgvpezZSKU1LkaBRytlAIyBCj7LCgo+jCoxZIzdBeBCAN8H8Ap4XsITGGO2SmIapHBKjLG1AE4AcJQo/z0AXxvtHIYAkHjkNUx62E06rWWLiBUMxBqDK7jUUAMtmXCCaYSaLIn/VjIeSJjth5ZKeMiTlYxh8MQDPWWM+hRSKa4xtE06l339uIBAUDs+uMrN4lrg5am1NUIjAou7eduMuhQ2fXh/b8ExdVy4j2uONs1MJzBt1hRv++p4CHOWiCEtQuDX9mZxwP7TMHcvb1kAmDx7vKPRs/PtbfyoP1ubC5kY2rCFltl7e03nWDyGaVNbnPoBIfiFCBFmOo62sQ1OkCDNTlweKmjFwRLeR86oS6HYGjQ7xf5THdNIgAe4yU5tQTxMezqmFiSIYbyba0C7D5+N7sNmYfOH9sXAXEGONML8eZMCGlU7GbmMydPHuqa0RRPFpho0NtWiOURjOX/+ZIeYJv9bPrDPmGmtiAvhLP0E10DrDTXIT2jCwFyvlbhtvmyl4oiXMeUsNtYgNqHJ6a/EYB6Ds9qw5cT9UGhrwLoz3uVe64QmNDXWOvdeb0jDEm0PI8zJZAwspqFGBId561sfxKpzF6DfR/QSdvCluOYs0BSbax1TTb/Zp5lKIJmIuz5+4IFjgGCwI7M2CQZ4CJtRlwJiGt74zglY+UXXFHjePlMdMpIYyjtzSzEkUI2ZTqB5LCfF8YffxND0Vi6ghxDDbGsDSJAwW7O3+eQDAAR93OLjGzFhfBNYMo6U0MpacQ0dR+8ZjLCraSDRRkMsMBk1SScZu1OsLoV4XHNNX8H7MMws06hNOX6WifXdyI1vAojwrkNmBciEUZtyFjVkiwgA6NuHzzv2vTbTCZimBZZw57ytx87HG985AZ2He8meWSNyBfrmHKM+hcIYr6m7bUXAEnGQYSG2vhs9B00T2r8Q3z/N9Rd0TEklIp1IxgI+5pSMu/53Fguap/rnKyKe3L4E0Sy21MOQ3m3k/IF3jgw5PJmS2mKasBIaz+EYYunBYm4aDCc9ieRf6SlrB9iR2+z7Ll+3TSIVM1TYHWH1c8sJy05lBCAmiKE8gxeHVPAZheow2hpDMMauZ4zNYIylGGMHM8aelPYtYIwt8JV/gjF2kCg/kzG2S3iFx2vdl6Te1oDYYJ6buYT4bsSaaqBp5Dj8hxFDaIRJE5ud1WwbOSnaqA0i8hHDOFbP8ZrGGXUpzJo5jmtfBoXWoTYZSPrcNGmME40TcKOH+ltoNtcCJEgjACOdAGIaNp1yIF78rWtyY8W0IDGsSaC2xUtGjLoUmpprPcL5lk8dhpp0EvHaJMxk3COMj5/c4vgY6g1pFJtr0C/Mb+fMGoe3vvl+j1/kxDkTAJ8QaQvayWTC41uERAyaprlRLgHHN4p8Pj11Yxswe9Y4Jyop+rIlzblSDTWgpPeRM1MJ7yq2QN/xe3s0lnkRUCIW09B5hFdryLW87h1yVvKJsOH0Q9G7P9ew1dSl0NxU6yG8az99eCgxpUTM0cABXCuoEWHOHC95s2IaUqkEEvVeQbR3vykY01zrBH2wwepT0ELMKgGg64g52PDRg9y6bQ2gyAUH8GAlALD8q+/DxlPF4octv4rr0nTTMaOcOLEZWz+4Dx+fcMmfrW0zapOYNkU8Kz7SkLQ11pLAatfbfehMLPvqsdh2jJvavKEh7enbjR85AACQSMRQ8PWxWZPAzBltgecWQOCZNGpTSMRjbptrkth7H35PB+dOgCnNEamUq4GLFQxnbmkbFyT/0+dOdMi0likgM70VIApoAAFgzPhGh2ylhOm4rdH3p2uwBPGxUgnnWt747omYMHs8N5GWsO/eU8BEGxuXb3P6xk9catZygikTaSsVx377B31ep+012VkEIsbNhwH+7PihjamFFo/BlOpd9tVjse70Q7Hqi0dixXkLHFJvphNgFvPMUZmZYzE4d0JAM+aQ+JR/exxWTcLzXNjXyhLcWiLZPYScCJiTDDFFhUSWnPx9MuEBodhS5wlCQ7KPIRCI8OsnZWYyxseSVK/9nGohgWpIjpQqEa1AnxOQiLttIcNyiLFWm0RhbD0Ksp+67OfoPJ/hZJU5RM8uRiHENoQAK16osBvCDjYom5JqqRj/DzscDaDnygcLU1DwY9SJ4dsFY1qbne9GSx1iwj8lH/IS1erT0DRyzV3CiCERpkxuQV2ru7q88SMHBkyWVpx7tAhy4AoQtlCy4TRXg0ZTWxCLaTxKnumaHwXC9de7q+2A63/GfG3stCxumirMHc3aJNraGgCNPERn/LhWkCiniT4xapMgv/lmYxoxTXM0aowIXcIUUYtpeOGms7DlA/s45WMxcjVEA3kn9+Le8ydj7NgG9O87BSu/5EZt1BrTnusCgFQ6gUMPnolEIoaXrvq4Y0roCH6SKafdp80tXgGf1XLNQKwmAS1bQGJdF1hjDd51iFeDAAD77DXd0bo49abimDixGYuvOcPRtmanjIFumB6SYZu7EhFWf/69ePPiDzr7zFTcY/5r+z0m7GiP9oqirZmQCKfewBcM1n76MA+RJinKJwAYDTWYOaPNk/QZ4KQpHo/x4BMCW4+dj2UXvR/z5k5yIpA65euD9yFnB3iJa44WijdYmFNLfWbWJPCuQ2ah5+AZyAi/QCYEQJnI2r6zra2cFDhj3h5ftr9cMo56QeQD2iRhmib3l+OPGtPQe/B0R87ceMoBmD93kuee2WRh4oRmsETMQ+hrxjXy59H2e9Xc82w6xavtR0Mac2aPd8agUZdEXV0Khxw8U1y/WzSZiHv610wnsO/eUzCurREv/+9pWPvpw519Y1rqPFp0O8VNKiS4SFNjrTN24yIQkG1W7Q+0VRTbmdQOvakGiUQMKclXFABqapOgpM+svD7NCYGEhNBSyhrDsVNboYVotJINKSAZfHYAYNXn3usslADA+D0mcN9FUW/f3pPQe/B0bP3QvrBSCXS/a5aTh9CsSaCmJulZsLFNWf1a95i4V+TTvtrWDS//4uPYepzIU6gRDjloJkxNc8apHWQqpmk8T6j8zMQkYiXKJ9MJ1NYlkUzFnefe2x4fwfQR71QyjsLYeo/pJcnRT+He71CCLZMwh78RUsk4MtNb3VyRdjRSmaSK+gj83jsaVI2QloPawPuuDKSv0YgLw3YzNEJtbZKPO9+cozek+cImIajFVlDYDWBH3ZUT2mvpWEBjaOYqB05TUJChiOFIQXqBWukEEmI1x0+oACCWToCIYAeTqm2rx+Hvmu0RHOsa0vwFXOMViv0kksU0fmpJEJp18HzMmTYJmz+8P7Ii/9lg0taUSAQyGcOGjx7k0RDE0gknoh/AX9Tz501C59nvcTU0sINBkEPkjNokZs/0RlYFgFRtyhGu7aitZjoBM+0VXgpOEBchsCdijtmks5otjVYicoTwxGDeIQKNIWk6AEBrrQ8IoPvuPRXxeAyJRAxmXcqN4miTeUkAtH3Ich89GJtP3A9ZWxC070cy4dzPVLbgEKii1B4tYQU0CGZNAg31aejNtY4AayViKOp+YsjbFo9r0FIJFNpck8499p3q0cKZqTj222cqxrb6zD7tISoLtrUp1NensO34vfHyz09ziyZjII8AHEdajNstH9jbyQfn+GNK2lhTEsRXnH+MN8VGQxpaIu5oODreMweNIdosu27ASzC0+rQrmNqCIRE0jTxE1vZhtQVC2zyTCbLvEMOaBJoaazF3z4neAB8AcjPGetrRt8/kAGGxj2ExjbdLHjPJOA5/12xMnsS1P6u+fDR0u2/sxRM7h18yjnnzeFqWjgVz8dwfznHqaZ4xFolEzBmDZk0CmkaI+/sBQmiX+iveXIv6+jQaG2uQn9jk0cZwrbjbZ0Mzx+LQg2di7/nBqKSxGHnu8eCccQARDj5wBlJ5rxZwQAjaMpnRG9KIxzRskcx6AU58KOW2YWDOOOw5fxJiPq348vPfB8BLDJvGN4GI0D/P60daU5sCyXOYNId2HrUnVpy7wD1/Uw1fuLIjuUrPkWabMIrrSTbWoKWl3qtBFn0ye94kvPrjj7iLcfb7QKpv7acPQ72YjwttDSg2C41rUpA5jzZUyr04pg65ic3Ob2bnDCQC2akw4jEQiGvjQqB5NHou6aqtS6FO+Hcb9WlnDnI0kNJ7jRGhpjaJREjQI7ksiUA22UlNwlyTXBJH3rKec4UQPQ/hBO9vLUZIpeLITWr25OtN2u8Qm3yK6K3JZJwvXskgm0S672EFhd0Jdp5p29NIAxATPuNcYyjSVRTKR/9WUPBDEcORgm1i+KnDhbmmWKWpS2HbsfMdggbwVR0ZsQYunKz68tFY+6nDxFbxMkzJJoKpQBQ+pglTTfGyHpgzDq2Tx2Hv2TN4LeIlbUf2ZB5iGMfmkw/AopvOctuWSnjez4YwP2T1KY8mY7owKbRJpSk0Z7YQ7CCpOb6INiZMn4h8vYa1nz7c0fo4Aomt5UpoqK8TK9SOEOETHKQ6jboUpkzmdREFBQ1qrg0IaTbBcIQGu7gt+Pn8NgGAahLY8PFDXOEwxGSs/eQDQAQ89/uzsfRbH3DbQOQx07Xb2GhHkBXntxIxjGmu9Wrs6lLYd58pjlAmr5ZbybjjJwUAsYY06upSzr1wNGFSkAu33iRq7WPl/krGQbGYI7TZQj4RsP6Th2HNOe/l7RAkWj6/J01FTRIZO6E8AGuyCEYkrs1MJzBxYjOmT2vFXvO8+SpZiMZw9r6utsfWlDEiTjCSMjFMIpmIIRGPYcb0sU4f2ClLHJNE0daWMXXoOmK2J23MgC9SY/MbmwEAbWMb0Co0x3a9rjmgNGbqUs5YnDaVa78ds8sGKXIneP82N9XiiMPmoLY26RXixdxht9lMiYUlIhx26GxMntTiaYOsBbR8ZsqydtFPpo36FOLxGEgjvHnJh3j6DYFYjC9IOGVFPyYSMWz54lHofLdL5NrshPF2sJqaBOJ1KTQ312H9B/fBohs/42kTaZqkDeVExThkJhb9zi1nB+eSFwlQn0IsRgF/xFhM85As0xcBWp5GNDHHOMRQitJskyxLaOVqhVWCrAU00wlMm9qKWExDdmqLQ7wdU0/pXhSbazFrxjjsuYfr8wsAKfuccbne0gHDKcbFPlvbxYiCkZjJe52uP504dUzjz0ywS+wDeD9K4zCejEMjbqCWTieQ9Af+kSxJWVxz3kn+enkDpDNKGkP5CxPEze8nWJNOIh6PgSVinntLmvcqmG8RR4tJfeD8J6UxVNgtwcSCnCEGcwxArLmWBy2WyhlFRQwVqoMihiMFO2BEOiHMNfnLxhjXiLWfOQKv/ehkp2jM90JlkjASEOJlgbshHdAYNrc0QpOiy7FEjJtGMd4eMl2NhvwfAPY+aIY4qVuflo47K+UA0CzyhNX4hKuk7ddkkxlB0qZOacGhB7tmlDmtgLxR8BCZcVNbYDET247fy5PzDAAs0RdWPIaZM3hycYfA+U2kfMRpymSXlDYKUyEbsXjMY2JnJeKBBeqAmZNPY7jXfJe42GHSnVyKkiDaPWUMF8Rimqe/iQgkBWxYc9a7+WU4Jp8uuZg+bazHxzExtt4hyrwy92s8nYCWjDnHkyADiUQMRxw2Bw22QGvXLwmgk+ZNcrfLnSG0Enb7bX87vympI9SlvZptGzU1XpJDTTzSqLOgILRfkyaOCQh2e8zlPqUyGbBNkOfuMQFj7UA4GtekyubUmNWGgw+aCSLCxAnNzuZxYow4JpySCe64/abhTeHDCIgAPIDjkzs0cyzq61KYPWsc5swej4MOnIG0LfjbQqjUt+P3cjVvkyeNQdvYBsdUMG4Hg5GIod235BPTY/aiiV3Wr9WSTOcAeBYpLL8GXRrjmkYBMg1wLd7AvIk8iBI4mSQir4mqs1BAKExtwSop0XyDMElmYp7TG2tw8IEzJBNH3xgiV1Nn1KegacQzNEjjyPHZk4iWJrRX/pQ7sZjmIceBvHuyhtWO1JsKagydBSPxYFDYglE6gcmTxqCp2Wsq6Zh6+uYcTSNnPnPK2r9lwum7Jk/zNTFC7HuZjAWey9qaZEBL5injDz4Tcg5/OZLmslhMC4lX49UulqhZVODWFQiEIxUl6ZCyZeW2Sv0ioyaddN5tzvXZz44ihwq7GcyCMHEXQzcGQBNztrwuZBnlo9orKPihiOEIIXXiIaD9pwEfOcgjyBZtnyTphRbzpSHIyX6Itjmb/d6SNUEzx2H67GmQMb6NayIcATMZB2MMuiVySgmtR7MwK/S8r9NBTVEsmfC84DUh8DQ1eqMa2gJPzTYe8ar5ra2iKvJEzqREDIP6gCPMti+YC4ukiUq0z9YomsKnkiyGtDiGiEcUHC8J+LxuafgKkzAbe82fjKlTx7rXoRFIWoW3fMJUg0wkbeEh7pafOnscmhprHT89J3+W7Usk+YqRtFLtFzc0KTCNX9Ph3PNEzGMqCwAT93Z99WZMH+sZTw31aZ4I3iaYPhLvLDaIQwo9kjO60Fzts/cUxxTLvh6NyE0Z4gui5JBYhxhKicFrkqgRdc2bOxETJP+reJxfm605s1KJABFyytopB8R9M5NuQJyWlnqk7AUWIqRSCQ857fDlppSvC3CJgGzq7RcOG0QQFTtgyuYT9sPcuRO55lfj/lOuKWlwMcGUFioAYM5sN3APOZpLoVWTfW593aHZ84mt1fIHJLG1lXYQD8lk2pIWIvbbdypaRBAcMx0PRM00hbmyLTw7Scjt50HqK5mcpvyaI9s6wdYY+p5Nf0AiAiHfJnJm1qWgaVpgkcAZ2/IigVgI6D3/fZ5cpOTzN22e0oJDhT9mPB7zLhiJsWWPY5tk1tel0CqELOeOOpottwKbSMbsZ9627rX7LOWdc2IxjY8bwDVhFPVqujsvFlq8kUtlOAs5ksY8GFOFPAt8/ATSPfDtI0dDaG8Q5eQ5KsRfPmr9AU2dtF9LxpFKJxCLaUimXLNPV6nn1RjaqK1NOu8IuU77nWeG+Fo61dhlHb9IRQwVdi9YYrqwQ3/FCdDG1AeEeqNCujMFBT8UMRwhxCa1IP7XrwF7jAcTgpkV01A/oQl77jEB06d7SYqMjBXyUrJfXNJqd3pSK+pbvf5Y/lVsKxHjxNDUUVeXcjSGtU2+FW3AQ5Sc65A0FwDAxHFNTTWckNjlSuQL9MMW0HIiMmBmyhjEYzGeQB5BjWa/HeBiKO9tV8wVFi37miXiZiSCq+MkyzQxzeM76Y8iuPf8yY55oCO0yMRTCHhjW+ux5x4TQEJsdgRQW+NQk/ASDN+9lqP/WXF33/77TkWDIN+25kAWbjUpz+W4tkbsOdebLsEzpnwaEqc5Qng1xkmRbQVxaKhPY29JwwXhM+f4Mkp1ygKkSwzd/myY0IQDRLTIZCKOZik8f50gQLbmLDexCTWi7ob6NE8KbkP0j615slIJ73U6ZmmiT5vdPjLqwyPD2uTGNk+ViaHlew7JZwpn1CWR9JvH2cQwxEzXr7GQ4QQDESTKNqkGgmZ99Y1eM8qEPzeqQ9LFkdK9YJLGsK425Zj/2XXJ1zh22lhRnV+rwv/LpqSUSjjzwaRJzdz02YYmzEKFWWVCShTf3Fwbqq2yI6tSU43QRnnLTLPnHpkYijJGUy1Wf+693grlZ6exxiEbBx84HQce6EYyjYt5oG4Nj3qq6Sbmz5uEffeZikmTxuDgg2YEiaH0fLdMce/b4e+ajVaR/sMZm1J7W6ePRSymoaYmiYMOmI5ae+zZc33BjXhMjlk8Tz/hiQTq98mzA8VUgMe00u8rC24e6gaWEXOtXMB/TOCcETSS9maZcMY1x182EY+5MWxCSKQ8JxKRZz51+sDyvlM8kALjAIA5pg6ZGa0h16KgsGvDNBkABsPWGBIDG9PgyCb26NdzVujxCgqloIjhDoCzUt6YxrhxTWhtqcc4KcCG/yVuhpmS2mVk7U86HhQA7BelHbQlrsFiDEWriP32mepo5DS7nOclG/eQPYATF4/w3eyaEMomeZpPS7D0G8cjFEIgM5zIj5xYGIIY2Nfb0sYFqrzQLoUGBPBrqSTtTExE6JIhk2BN8wqb/uTgPAKfveov6pc1u5L2srWl3iG0timprXkx0kmnn2bOaMMkn88lkYbB2dxEduy4Jid6aW1tytG0Wj6yzzRyNJX+vpDbb2u2rAaf+aBPC50/wjX11WTtk29lXtPcoByyFvKA/aahqVmQPdvHUGpf7Xjf4oU0zfgjGtLhs10NARFmSQGM/p+9846PozoX9vPOzHatepd77xhsML2GkEASCCE9NyH1JqSX+6XnkuTm3nQgN4WQBumQciEkhJrQq00xNsa9yJKt3rfPnO+PmV2tVitpV5Ysm8zz+63X2jlz5t2zZ2fPe96W3vRIW6csQxvpHpdr4c2S0VOV3+KipZMwlYyMaYXRFsPcjJKpnEy6MGw5rswoBMPHchXNEXLkZqvMUvzrcyzjRlqZS7tZB3MU//SQpudtlrKbyi2dkl50Z+btsBxz5tdk/n/yuvnMc1y5M26RWTIHeoYy8zwU9LFsaVZ8qDOPe51C7oNZWUCXLm5gZU5d0uxxMhyLZm620bRynP6etZ+1OPN1VajR34dsBT5rDDRNQ9OylIuc71XvxWvski7Y89HrGbYKp+832tDwvaZqTtVwXyLD99eMxXD4s/CsGR4HX1Ypj/Q817JiWmfPrcLrNTIyBPx5YumyLId51Zpco132fX1Ml8yRLpYj3MAncD+1s3w6CmXW99TnM4YzIueZS4xKmJNjXsySYdySvum+c9z8s3nvJz/CZR96d6atYegE/KO/1y4uxzqWZS/gU44PgyFg1pSN2uNIRl2LoUtxuIrhNDDoJKJJZcf3jPOjml74hkv8w7ud6V36LEuNGBqyvIl9bzw5UysvE+OWdoUK+/F6DFKOn0FagclYv7J/6MVOpb/2hDlZr43cfbbGyECn5ShWkRy3uUx/OfFzYlq2W2f6N98czqo3Xj/2Re2nTCKb7FifrMVn1psZPlUb+b4aFtXnae/0n75OlsVQcmI70wr3sMXQUV4Cnkyikfq6MsI5MV6aNlxkWRuxQz88RpnbeFqpDnrHX+TlYHQO5D8goxda+ggrwmhlM7Nrn/X+vV6DYFpJylLq0ljVOSU9xpFVhcaOpUqXC0lb9VTOpkWuS132Ij934yJzjvN6fKn9+XsP9w3LPcpiOLFimDHHpi06A8OW7pJ87dPypa3CaVfqrPdVUx3mtA2LhhunXTPTVtCcuZgZh7SSXhGid1UTybCfwMnzcy6cs7mS9f3OVsbSSWhgeHxHWGdSY+9CpxWdXmDjNW+i1YmlBXv+e3JcYQOBYSXJciyPo+Z3ep7pGW0w874NXR8V05YdO5lbGme8746Vp07s8GfsWHcvO4n+xbVsvPZNo+ZZZi7mxBgqAd3I+blNK4KOPEPnDNfElDEdrLO+a+mnfJax7AY5skFOEp9xzhzRw5jXGXniu7/4KUILGqgoCxPwBVi6eAkf+8yn6OnvG1besu87OW8019V4xPHxlNOcOaDnS+CTs/mjaYLHk2fD1cXlGEcp+6uRwn72iCJVUT7qu5uImHnPd3EZi8L8AV2KIh0DlMp2expvMeK4Ua1aOYve8GbnBOcpy5poOIXXD71yNXUPbMczEBveFXVcL5Mlfvx+DzFnUzsTC5d2uxxhFHIUlHF+FGtr8iyUYFR2TStXccoIbS8ABhfUwH3bCJy+GICqyhJS8yz0nEQv1ngLlnEshkPnLs3TPkfmbKUiX3KH3MQR2dakYM7iMndXunyM5CyjLHv5+4dhLyd/2sKRthD5jFGf0djJHaD74tWMsNnlLEBHHspa4MvohV9m/uSOV7or5zPIFiee68Y5zpprVH217NMcRSfqlDnxdw6OuFBmiee8lr3wrhujBEba4tR50hz0s5fQ/7r1LHYOWbkWw5w5nizN455qjVQaYmuGrWElY7izAuhpxcX5zc7NoDiC9DFnk2jMe0nG0q2x7VN2NtyVgfyxoZm5kK1A5c6pHMtU9vGBE2czVhRc9vcyWREc/fnns3Y7tRAzMca5bdKbKWmZlMq0mdVUSfOWgyPbZ99HanPuYXmG75mvvw5jIJa3Rl/GYpg+VlfK1s+/Kt9byUzKfHGZo6z+6U075x6SXD68WVVWFqC7PzJaliz5cxPdTEj29B7TzXmkd4HHO85v2KjpIhm967yzzuGGG3+OrgvbXtjGe9/9Hvrau7jp+z/OnJuoDI0f25fHajneJtOoaTZG6Y68jV1cjjOsLMUQwCNgllcML2NQgBCPua6kLsXhWgyngUy9sRHK0uhfonT9rexYJJVeaKYXFmXDy6+6urKMu1tGMXGupfXZi4hU2J9JPGO3c24KORbDtrOXFPReRiUwSPeb86M7Vnr1dLuB85ay8Zo3kVrR4Igh1NeVZVkMbfkymSbzdjZSicy2duTbNc9dXGqacNhRIFV9HsUhJ2ZNZdUKJNc1Mf05pUsIOFbCnrMWj2g2Wk/Mquml51+4ZN5XyXBNsdyssPmUvMH51aQCXhI5rqQZ5S4TvAP737Cene87h1BJ/kynabxpS80Y108rNCPiUnOV+3EWrmPNLxieO9GVduxj39IcK2/OwtjQNbZ/6Hz2vvVUamrGmEeOMj6UMNnzrjPpLBt+/3NmVw3HmTKsuHecuoBYdcmIUi8ZMhsv9jhElzfS8srV7L7y9NFts0jHu4ppa4ZqosQeWfKM8qdLZ7VMK0/ZlvKxlL1MaYtxFs+ZC0v2EwBdr147dnvnvaxyEiaNrqc5+r0euGI90fpS2p1Y5Fy508qmwfDmUHruBINemrJi/QBE13nuq5ex980bkKqRFux814/VlzG4uG6EVTRDTlbS7Lk+SlnKvX9XhIjWl7L7XWeOVjrT976sflteuZrD5y4dXXcvn/zpSxf6K54l6phezsO7LbmnFKSApuObvD4fc+fOZtasWVz48gu54jWv5d7HHhoO8cPOVpt03HZfdv7L+OBVH+QTH/8EjfPnUHvmCXz2m/9lb1w5Y5lIJvjSl/+T+XPnUxYu47RTT+Puu+7OXNs0Td733vex5JVnUXrKMlatXs23v/XtkZtfOe/lueeeo6mxic9//vMANDc3c+mll1JZWUkwGGTZsmX8/ve/n/B9u7gcbSzs75HpPHt0sEpK0RyFMP1tTboWQ5cicS2G04GzMBrbXmCz7VMXIUmLbFtUboyhFvAwsKCaaEM5tRqY6XqJaQUx7arpWFWSpTmKYcaVVB/R78DiWmrG+aE3vTpiqgnXHLHaMP72gRElEEbgXKOqKkxrYvQNKhNn48hn6BoHXnsSqbCPBaMa20+ZpAKOi1jnKfPzWz0zrob2TVJE2HvlGey98gxWlAfztHee04u9mlKaX3sinr4o4RzLVlrZ0tLvu76Mp77/Fny1ZYyoxpdP8Um/5Bljoei8rhwluf2SExiZi5a8ySOe/+KrQSlqclzWhqfUsCytF68BYHHW55Z3NqRPHqX4p5Xb0YvlUYxzrCGrcPconL6Tsyp4/guvIl5dwvrs45k8GcMWre718wCYP8Y1066kwaCXSCQxIoOuz2sM15hjeNG/69/PQUyLhQtqySWz8ZJ2e7UUB954MgALR7XOOi9dx9GZhyEna+Z4pK3cMmpVP/KzGHFk1M6EM7fSn9sYLrd207TyP9piOG4OR2cswiV+Tlg9e/SmRh76VjXx7NevoMGJTy0rC4w8L51x1cncaXlySjRkJabSsKdEZHYlkdmV1IyTnTOXyoo8dtAcV9IRimHu+Obev/1envn6FQAsyB2HXCVSk8zcyePoPkzWBk/W09jNE7ejb/weRvwgaA2Yvo+DvGeCs4aJNJUjpiIwcdPhjaKsjY49e/Zwzz/vw2MYWVbALPmcP37329/x9ne8nX/efS8vPPA4H/jK52hYvpCPfPBDALznS/+P3Z2t/PJXv6RpVhN3/v1OLr/stTz6m1s5YekKLMuisbGRX3/3h9SWVvBU7wGu+sBVVFVV8c53vTNnUISHH3qYy197OV/84hf5xCc+AcBVV11FLBbjn//8J6WlpWzfvr3gcXJxOVpYloXCvnWkbyOBgI74SkbtG7nJZ1yKxVUMpwF/Wz8AvvGsX9gJIJShj1wA5dQx1DRhy5fsGoi1DLv+ZSyGziKs4+1nMGgIPWtnkzSHg40zFrm0YpO1qBhe04xeKG3837cCsGHcdwDPf+FV+NsHJtxMzlsrD4bvao58oaCP3ZeuBcijGI5c1FLi4+lvXkG8OkxDPgGyFrajvdnGbp9ZqAkcvPREAE7IXV9bI2MjNU1Ilfjxjep29HV0Y6SSnmmZdKxHaStdyMdjN74rf6zamPLLaCU5e5ueiReSI891FOBRdTfSlpvR1qRRSVfy7C5suuaNSMriJP/YSkMm2YemMbhotFKWcX0txu/BsZAtWlDH5i3NmSLmea+fZZFUhp7/c8i4kjrjUWjae2cOD7z2JA5Vhig/ZWLFMHnGYnrv387ApScywjkyR4Ebmbk1p5PMHHcW8OMpbXlcFaP1pQxlJVzJe1rWhkcwmG/ujn4p4PcQjSWpcVzXDUNn7Zqs7RBnvBKOFbLnpDlk5+VNdzk8H8dR3sZRDPO5zudu1gWy3UNzXbxzFcPssgy5MbzWSIvheC79+UiXfJHYGMklBCR+O3r0iwhO7KvVih77Ev7eSlTtG0afk1PaBkB5DFTe/YPR8iYqgihd455776WirALTNInF7Gt/61NfGI41zzo3Xd+yvqGea669BnMwzkp/NTtaDnDdtdfxkQ99mN3N+7n5739h+64dzJtrZ5W96oNXcd999/HTP/6O//38V/F4PFz95asZGoyBUrw+vIFnnnmGm39/8yjF8I677+LKq97Htd+7livfcWXm9f379/O6172OE044AYD58yf+Xrq4HG1SkX7HLqiwsDfDAiVeDP+wK2n6LpyIu4qhS3G4iuE00HLJGiRpUvudN2VeG+83f0Rm0By3v1xXJTMTlOQ0c35UI2EfbW871Tk0fCOQjGXRvk3EF9XAP7YRXFI3KolBNuPG+mWRKg0wWBrI1OYai7RCO8p1MCdWr6YmzO697fk7yUk+IyLEnfihvC6JGQvjOFa7Ea+NXGDnZukcgTlyXNNKw3i1w9Kkyy+MsvykrcE5CV3GVWLzMDpOauRmQzE1uzredAqefV2YKxpHHkhfPsuKMji3KlOGYmTbfAvIseu0ZU5L9z1R6vsiFtRp10mvM1/rcjKojkfe+LOMNcnJdlrg2Gbi8HSN/uUNlBdwnmqsYNunLqKmOtc10nl2xsmbHRc26sJOX/rw/WVoTiU9a2YxK7dt+rpZnTzrWL9OmFczRmsy5SrGIt+nlamoMpal15E3tbyex3965XACqkwD57ub2XQZPuTNuZflu8KaVbNJJsdwucpR/kuzE0qN2jAaqViN5yo9HGNYgNU9D4nKEN7uIRLlwTGteXrsmmGlMC2jiqIfuJpUPsWwGPKImyrxYwY8nHnmmfzoxz8iGo3y85/9nN3btvOht1zJQ089zmtXvy3T/rvXXsc73/l2ADZs2GAnP3OObThxHV++7lv0D/TzzLYtKKU4cc3aEdeLx+Ocd/Jpmb9v+PEN/PQnP6O5+QCxWIxkMsmcuSP9LZ7e9jx3v/Pf+OWvf8kVV1wx4thHP/pR3v/+93PnnXdywQUX8NrXvpZ169ZNfoxcXKaBZH+3oxjaLqUaECwPEiyrRpOcchWxoraCXVxcxXA6SFUE2XvlGdQVqFyNWHDm7DjnWjRKQgEWzGrIijF0XNKcBflJKxeRF6ef3kvWcHhWBU1nDscYFrccyc+K5U3jHg85loPS3Pi3HFfScRdHuRkVs5rmtfzkxAym+1dKjZPzb/i87P5VbsbKHEunz+dh0cI6wrnlAfIsDFs/cC4VNz2C94ScpbgzFukSCobznDfuaZwF56ymkfFWuZsNxRBZ2sCma9/E0lzrd079SYDnv3wpAKfkKluTzfg3kSUlHQua9dLypQ3E4mOn5xanxqjHo7Ph5IVFiTaqkDuMSj6TO0/GRB853ws5S3cUk1EW2ZykTABNTRW0tPTgyU3uk4lvHVZGNn/lMoDRimHGIjt6kPJaAtOn5SptBZDRi8faA0hnX1aMVgpheC7kzJnZsyrz3BtGXyQ0TgbZfMIZhk4qZY6+jwxruI5Y44xF2vsjXcNvnILs+UiWBkiWjufgKaAO5T8UP5j/9exzHby+4rN2BoJBFi2yf4uuufYaXnb2eXzthv/lEx//OE9tegqAaCRBTW0eT4Dcb4OukXRKNT3y2CN4vSOt3IEDfQDccsstfPITn+Qr//U1Npyygdq6Kq7/4fXcdtttI7qe1zSbmtpafnnjL3n1q19NMDAcVvDud7+biy66iDvuuIN7772X008/nc9+9rNcffXVRb1/F5fpJNLWYn9Lsvah/BUByioahnOGOW3NhGsxdCkON/nMNLB65Wxmz6os4sc0j2UqbenL6cPCZPXi+aMsbetXLmXpvNlUlOe3xAwrXhqRCVzBJsNEFsPq6jDrTpw3OlNjRsGaeCpmFmF5Fob14ySTyc5kt2RRHUCmqPqI5pmYH81pYy9AQkEfwZysnJKTdATsMgP+XOUh3656ZYjd7z4LcjOdpi0WTp8Bv4cF82pYlC+2Lc/cqqkJU1YWHG3ZytlsKGb/MO0aN8rykUmaMvqzGFWrMI9isXJ5E7NzEobkkk5p3+B8tqOse2mrV9ZL5eUh6sezAmYXPtcKKwzeUF9GzRhu4cMu3XY/6cyoy5Y25G2fIV2j0cr/Pc9/in2OmWuVzXGBBpjdVMnJ6+aPUjYy7otpV9JxU8ZmTLITyjYCYzIbAWp8edKKtzMf63IzjWbaDVvZT9uwaPQmyWRIf0ZZ41vuxIaO+l7kfNfG/VjTn6PTR011mGDAO6KW5xEhgIwxD31j2YezznXwGHqmAP1k+fzH/4Nv/+J6evr7WbRoEYsWLWLJ0sWEw8PfqyeffNL+fJ0hfPK5p2lsbKSstJQVp5+CUor2tvbM+elHU50dkfnoI49yyimn8L73/TsnrF3LokWL2L1n9yhZKkvLuePPt9HS2sLrX/d64vGRNXBnzZrF+973Pm655Ra+8pWvcMMNNxzRe3dxmWr69+0ChOxfAk9FCG+wLHPbTn+Fk0nXYuhSHK5iOA2EQr6CFiTpDIjZVQLSGR0lNpxAZsXyxkxtPFPZC/K0i2g6u2FFaQnL5s8mpYbPyyZTyLt4b8JxGdfdMaedN4/ymGsxHJ+0lWpkW7/Pk//6OS52AJWVJZy2YVH+rH+ZmB9nka9pnLZhEWtWz86TZMKRe7zsgSOEyPNK7meQGhm3KCLU1ZXlHbd8VpxFC+pYsaxxdNtcg+FYn32eIVRjbFBk6tjlKoF5XXRHv1RaGpjwO5LuK/2ZLch1X5zEYrWweTaSeXNrWLSwLv/BjMXQ7nfenBrmz63OFEkfUw5HgaxwFIy8SU9yCDlZakcpyBn30JGW8fxzPP0dcub4ONlQM9Mka5iXLmlg1YrxvQNkjGy74zGhxTBHzlHfx3SM5xEqMHmv7QiXvcG0cH4tJ54wd8JNmPHui5JTrkJEOGHNnLGV3klg+j+OykmDpiSAOefq/CcU87uQZ99AyxNzDHD2aWewfMFivvG972Ze8/k8Iyy1h1oP8clPfJIdO3fyp3vu4JqfXs9HPvoRABYtWszr3/BG3vPu9/CnP/2JPXv2sGnjJr77ne/yf/feCcDixYt55plneOCBf3CweT9f+6+v8dCDD+UVvbq6mrvuvouDLQd53etel1EOP/rRj3LnnXeyZ88enn32We68805WrFhRxKC4uEw//TvtDY9M3VRALw8jXn/GQSp9Z0q5iqFLkbiK4VEi3wJh0cI61p4wZ0SRccuxUmUrhmWlQZoaKwBIWY5VKSf5TJp0YftR108vPtIvZGuGR+BLesKa2SxeNMaiuRDScoxTzy6NDNg/3pmaiRMsJocthgVO85zEP+PKkr72RJbOAsoQZC6fzjBbMo5bW0aAIj60zMJ2pKy5lsh8PVrO4lUfZTF03F6zFsbLlzawfGkexXSyrqQTkYmZLPyU8eqJToocy7FhaNTXl09sAXTal5UFOW3DooIyd3o9BqdtWDRKiczo+4W8tzwlEmy5RytzGTfXrPdSWREiHB4/P+VkXEmrnZISxlhKZTrra2ajYpSwAFgTbtRMghz3ULAthf58tVtzYgzHJb0pVsQ9YgQFGHSV79WY4a+hfLNRCMo3G3PR/+ZPPDNJVJYAAb8Xw9BHWX6VJnzs7e/hxpt/y/79+/P28+a3vBnTNDn7wvP5wJc/y5VXvImPfuyjmeM/+OGPePs73s7nPvM5Vq9czWWXXsZDDz3E3EZ7o+K973svV7z+Cq58+zs484wz2L9/Px/7+MfGlLu6upq777mbg83DyqFlWXz4wx9mxYoVXHjhhdTV1XHTTTcdwei4uEw9sWbbRXxEVHRFGNG0TIh3xpU05SqGLsXhxhjOIJomBHKyMkY2LKDqB/8gctEqSvKepTAtc9himLUQMpWJpfL7k6eTbuSLacq3rlgwv2aMIyMJ+L2j3kMxZDJwFmDJMefaVtOuS9dSAiPqmOUl42JXmCyj6v2NJ4vXwIglR9RSzN9pHrEcucyc+lr9F68m0htBe2VOgfp8FLOYtEYuphsby+nrj1I+yu14dJ9er85QZHQCj7R1M1sxHN1futvJLXwnVK4KVfink5xSBoUysaW5qN6y/p2gpTl682Ptmjkjynbkooq1sk5oMRwt6ZzZVTQ1Vo4pR1qhT8dM+rwjlbJMRt8C6jIWPR3HsJrnb+s8Z43vsqUN4yuRk7RyBgN2yZWJsPyvQa15X4G9FqHYphvltP3Zz382ule/hzdffCmvf/fbMSrz/7IZhsF137uO7371f9AP9mAFvWi6jnJk8ng9fOk/v8SX/vNLI0/c2gKA1+vlhp/cwA0/Gen6+YUvfiHz/5984xr0SALTkbm6uppnn3sWzXHb+d///d9C3riLy4ySau8GyLiSCgqzzF41pH9aMhbDsUPuXVzy4iqGxxhmbSmP3fiujOtoPpJWanixkrWoGMtaCIBhf9TpmCN9xKJ69CqgrrbwbI1HgpVOsJIVN7VsaUPehCNWYzmP3fguypyECz6fhxXLGkfHLaZJu2AWGHutMglVJl4VWV4DYslh99MxEOf2bHn0zI26qipMT29kVFymWRGi9fXrmT9ObbmsjovHWayWhPycXEDdPLCt2oNDcby5dRzN/K6keZk2i2H6P4XviBayuDe9BvGqEOM7gzr95cQYFswUWi4tZ8Nk4OT5E9aaU05saPbnNpa1UhJOzcACk2hlzpvoveXz+hbByBOb+Ox/X07ptkOkZ2t1VQmaJqNdb9OyFuB5UCy55SrGJW2dz2o7Ztz3ESqGE94DsmQpeLZlvkqFnFH4uCi/h8jsSjwFWMZHhzmMbdUuFsnzPxeX4w2tewAAKxObDclQutSP08Zpa7r17V2KxFUMj1HG+61NWSmaLz+J+b95AslKYGJaY98B0mUVZs+qxOfzUFk5cUzT0SA6u5JAa2+mvhyMvZDKrREGtivemKTLQhR6ZyzCMrDzA+cy6y/P4p9oHJ2uLO+wYlhTHaasLDBK2SrK4aMYZSutvErxC1DD0PPHy2VcSQtwu51q981cpthT5qkfvBUETi2ksTXaAlcQU6gsq7CfJ3/0NkpqSpkwbUly7KRBo4jZ1ihrgsRSo5jCjzvaWE60sZwFWTF7VfksTnHb9b5o62YhpPd+ClH+8ySqGbttEZsreZngGhO52h8pRfZfdPxnpuah7RVSbGbU/EKk+z7yrlxcZgqtfwjAtnwrRzEsse+Leq5iWGimbBcXB1cxPA5JqSSHL1zJ4QtXcnGWcpG08ieeAUYUCx83a+MExGrDRBvKqZh0DyPZ856zaD91AbOzazmORTFeToByMo9mEqVMRJ64ubHoX97AC8sbWDeRhcJZiFs5C9ZcpdC+sP1UyPpHEJpfeyJDJ89n2USN029/Kj0vi7IYTuF1R/RbuAtlMRSlXBzx4n4KUAoz4C1IcVFFWKlUYzkAXecvp5htpInsU9MxHZRjNe18+coxXPCPpPMivpjOfFAFtO0/cQ4Vj+xCLamflFjpK+hjulQfwYKwkA/Jo5MsDZAK+ye2VE9w/N5/3JvVeHTrKVEKs/ueLi8GF5ejgZNvwXSyz+iAVeJYDD3pjNM2Ezg1ubiMwlUMjzJd6+dxpMUikuawy2j2xvS4rqTjWYvEVvh6VzQy0RLlmW++HoDTJmhXKKbPoOfEOcwtxB3JeS74N90/RiH5sUin8M9XpH0MJpTFqWvY+orVzJugqSpyO/vgpScSyBe7lKfngvotYq1kOkpDbGk9E+VQlJlUmqaZjCvpDMY7Dn+6E3+AiZV2cqD+162fWNmrLuWxn78Tf9DLnInaZjEja+5q2wW/kO9DsUqGFJGUKusiEzbpOXMxh1c2sXLR5MtTBALesa2TTqynFfQVvidUTCInIFEZKk7TL1DhBNv9dMpxLYYuLwHUkG0ESK/4NMAqt7frda9kXgNXMXQpHlcxPIo8duO7gCNXqlRW0Fx6kWMqM1PKIh/jrVOEYYVvcnvXo3n6m1egNI11E7Qb3sAtQDEsdrfXq9Ny8WqGzlzMkgKam6W2Eqf3xwrrvxBZgt7M5z5vor4ms5ldQONkjV0rTFWPb0sp5rLJtXN49muvpWTN7IndF6dLUziGFneqbCKbSfH0rmpCTGviRERFLHbN8hCP3fguGhvKCxNiut2Ap5rpmGt5EsqMhelsBFkTfNfS3VoBz9gKvdj3vPHujaPqKGbj0YnMqkDzeYr4oZ95tzPl8xBtLEcP+Zh6x+DpsRiqqar/5OJSAGbUVgnTCUd1QK+0TQ6GL0cxVKDMFKK7y32XwnBnyjFHcT8w6UVD0hzbjdRpOUl5Jke8wFpcY6afH4dCm4oIB95w8thZS3OIn7aQrvXziL77rIJd5yaSJX28mISGU6wX0nPJGnrCfmpfNlE9LruzzlPmU4BjL9GmCkoKECBt0Wi+Yh2zC+h3aHYFoeaeAlo6FLAoi1eG8HUPFd5ngTRfdT6Bh3dQPmcKCqnnsO1TFwETbyQVM2/Gqks5HsXeOabM7e9YQRVuFY6cvogd7z+H8OvWE56g7UT3Pt3QicViBAKT33RQk03YMoOfoUJheY1pUAqZhNtJYUSjUTyeabBwurjkwYzbxoFkOjGTgKfa3tbXfEbWEef2lRwC/egkFJwpdrxwK/0bf8vat/wKwyig5JfLmLiK4XFOehEWN+N5jw/NriTU3H3Mh1QUkqxh2GJYZN8FvnnL52HHh84v3JpSRN8FUYRFVGWykRXQVtfoPXEOdRP0KzJs1S5EMSyGx258FyJSkGL4/Jdeg6QsNkzQTjllUpJ1pYyRlzaDbRFXhSWUKYLYrHK6X7OWipn8gk1UHT5P0+kQd3B+NSV7OyduKLD1068kURHkxCmWYTreVzFlbBCh69SFhAtQyCbylgiVh2hpaaGpqQm/3w+6hmVo06MwHYtMx1cqU8JoajpXShGNRmlpaaGu7gjq+bq4FIHpFK1PYX9NDE0RLC8HQPMbCLahQHDyYSX6wf/SVQzNVALPfddyUsJk69M3sfqUQsvzuOTDVQyPMYZtH4X/cFnKIm7mr2e15QuXoEeTnDRudzOvNRZTI6yI5OvFMQl3oMIXokXEUBbQWxG6QOEhhtPm8llcv8qjF5QAxmqqYPuHz4cNC1k6UZ+TKLpeENNkgZiMCIXMhaIshsWYu4Gtn70YLZHi5AK67V/eUFCf08Xet57K4IJqVhfSuIgNqaJuIRN8Fn6nDE9LawtmyiSeSEECfC/2FtS9pRTJpImmCZ4CLYfmUBy9L4qVDKF1j28BU0AikUIA7wSZa1MpE9NSGIY2TrIcRwbTImVaGLqGXkB8cioSRSF4XhycsG0ynkTiKbS9A5mSSJpoR3Tv83g81NXVUVpamJdMGhG5CvgPoAHYCnxMKfXQOO3PAb4LrARagW8qpa7POn418J85p7UppaYqQsTlGME07dtROsbQ0IWgx7aSaQEPQhRBgfOvSvQfA6u86ePZB77BiQmTFIrU838FVzE8ImZMMRQRH/Bt4M1AALgPuEopdXCcc84GPgWsAxqBdyqlbpx+aY8+xXyJI8koY7mgWj4Pls8zbo/HgjUxX93CXCa7Bi+0/XD/U5lNQQqXYRKaYWHdFtZ2+kMBpz4Op3vdPMpLZs5tpNg5ufUzryTQ2suCaRBiulxJC8XyGsWXtpgiirGgAxy+cCK36hGd2xRUq7KY76XNeB+Fv8SfURAfe2IXAKdtWFRA79DXF2Hvi62UhgOsXFyYIr5teysD8SSL68upyK0VmUMikWLTM/swDJ2T1zWO23bXnjY6ugdYML+W2gnCDA40d9HS2sOspkoaZk3sop0ZlzUTp0jasvUgA7EkKxfUUhq2XXTLfGX49KN7DxGRNwLXAVcBDzvPfxeRFUqpA3nazwfuAH4OvA04E/ihiHQopf6U1XQ7cG7W324Vu5cgpjWsGArgMYQSnz2Hs0uYpW8tZu9htOqVR1vMo0Ik0s3szXezM+Clr6KJNa176Os9QFl5MSnTXLKZSYvhtcCl2IphF/ZO2F9FZJ1SY2ZRKQG2AL90HscUIU8QS03k1Aal3rF/GL3SB4Df8I/bLo2lLAzNmLBtma90zMVgKqvOXyHXnI52Zb5StAl2kgd02z3Cq3sL6td0rESFjA+AV7Nj0Hy6ryi5x1tkx5RtyRVkwj4Nsd3wgkZwwraZ96ZP/N4MabP79YTGbZudQGGiPtOfhUf3TNg2Tjr+deIxyGaitjHDjrPwaBPLUGifxbbVnBD/Ek8Jpd5xamo69C9roH9ZA2unUI6IYX9/C/ksDOf+EvAUcH9JRADQRZvScUswHA89VZ+bitsWMV3Tp/wzPnDeMkK/eJjA7KYJ23u1XgD8RmDCtmklNuwN4/cWFgcNhY9ZymP3r0vhY2JIO2bIR9Az8T0o/b3WZOLvtUe6AQh6Jh4Xr2YX7w4U+BuYppC2utjzJOQJUeq1EwQZ2owsgz4B3KiU+onz94dF5BXAB4DP5mn/fqBVKfVh5+9tIrIBe6M8WzFMKaUOT5fQLscGlqMYplduPr9OOGCvPSXoQxi5SZZsb8FT2H7Sccfzd32Rky3oPfuD1PhL8d72ZZ5/7Eec/Mr/mWnRjltm5I4oImXAu7Etfvc4r/0bsB94GXBXvvOUUndg75ohIjceFWGLwKsX9uPuN8ZRHp26NH6Pb/x2Dppo+AsItPUb/rEVQ7FvLyJS0DXT/U1lu4AnMKEVI/0Drmt6Qf16dDvuUpfC2hua7pznKUru8VCmUwKjgLHVnJIiXsM7YVuPVvh7E0d58eoT95tmonaGk+GsoOtbw25shV6/kLYezXZ1K3Q+TPX1Ydjy5jcK+75OhxyGMw5GAeOgOQvjQuZCXLfvC5qmTam8k5kPE7WLaGklZWplBei6cBUt5yzhvJrKice3iHtIeh/G7/HjNwpXDAt9fyGf/fkF/f6Cz8ncgwq5VxR1byt8XPQi2mZTzPfVpxf3fZ1KRMSL7fX07ZxDdwOnj3Haac7xbO4C3iEiHqVUerdlgYi0AnHgCeBzSqk9UyO5y7GCUmnF0Fb//CFPxkVbwgFHMbQfCkh2vTT3Crq6drJy73NsLq9k7arLAdjt+xoVu5+YYcmOb2aq+NY6wEPWjU4p1QxsY+wb478EKcv+Mdf1qU0xMJ7SlV6gBHyFL06mmkJc23xO1rdQoLAf9KLi8LLaT6WXXTFdFeryabd1+i8oNHP63AcLcd2bLhfVY6EkWdElVKZHCue5AHdsp6jVRNZ5u9fi3DOPBablY5ART+NSjKtuenwLcaOfDGXhEOtXLOGEpQsLPkdNykW9GBfbwpOMTUvlkWOjqkQ1doWBtpzX2xi7YlT9GO0NhnOFPQFcCbwCeK9zzqMikrd0soi8T0Q2isjGjo6OYt+Dywxi4SSWcf4OlGWt3UqCo75lsf4isnwfR+x+4Lv4FNS8/POZ17oWbmBBPMm+3f+YQcmOb2ZKMazHtoLnprAb78b4L4HXsC0xPu/RS33tMXTWLFnAGSeuOmrXnAx1VRWcsnoZi+fMKuwEVdzCVhWrSRZBQQrcNNV0tKzpXYBOxPD4T/GqbJJZaqdWhOlTuguXAUeGidtaqvC5MF2L6OlZ8E/jd3cSchT2fZ/+udNUV11w4pkRTHF9ncnM0ekZl+lTOmcapdTflVK3KKU2K6XuBV6FvcZ7xxjtb1BKrVdKra+pqTmqsrocGWmLYVpBDFQOhzGokkBmfqeneXKw9+gKeJQoadvFPr+XptnDOcyXnPoBkijan7ppBiU7vplSxVBE/ktE1ASPc6fymgXIdFztiq1cOI8Tly2iury4DGdHyvymeoL+o5/Eo6qI9ykiNFRXjl/UOYtiE4NMZ4LJopS9AlBFKL1WEVaiwgUooq3z3qda0Rhel878Km9m7YWFr9DT87CQbI9FZbU5Rpgei2E6gVThynRRWZaPIS2lOItnEf1OymI49eMyfA+a0THvxN4Yz61vUQeM5fN3eIz2KUZvsAOglBrEzna6eNKSuhxzpIYGsLC/f+np7CkfDmlRJf6MG2nmnMGpr+E70yTig8yPROmpGlkEq7xiLtvKK1h4aA/JZHSGpDu+mWqL4bXA8gkeT2Lf5HRGl0sb78Y4KY63XTHD0JnTUHtMLRamk9PWrOAVZ0yU4H5yFL3AKNLCWBBFdDW/yTaWl4dLCu++oB14WzHUp6h210gBCmgyXa6kx4Bb2OQy2U6PEIWIsHLhXBbPaaKhOq93WV6OhzvRdLq9TspiWIwCVOAVAj4vVWXTu2FYnBG+cLfToqyLzvN0ejjMbNlRlQA2ARfmHLoQeHSM0x4bo/3GrPjCEYiIH1gGHJq8tC7HGvGejhFKoQBG+fCaQZUEnCIVwzGGqehLT0Hau+Pv+BB8c0evH60FZ1BhwaGDT82AZMc/U5p8RinVyRi7V9mIyCYgiX1j+63z2ixsxXGsG6NLFnMb6+js6ZtpMY4YvcBaVZOhmHgZyI7Fm0ohcPqcuNP66kouPa+wENtilN6MK+lUWgyLYLrWYImkkxnVM7U5tDasXla4K/c0xkMVSjFKkdfjYcXCuYX1O23WlcItcAUzjQGnxchZTNyg1+shFk8UPHdefvr6guWYLMXcV8RJVBPwTexpUlT89HRaDKehZM4k+S7wKxF5EngEO+toI3A9gIj8EkAp9Xan/fXAh0TkWuDHwBnY8YRvTncoIt8GbgcOALXAF4EQ4PrUvYSItLWiGI4vFECqhovXq6wYw/SzGc9f5/p4pm/PwwDMXfbqUcfKGtfA03+j59Bm5sw/+2iLdtwzI1lJlVJ9IvIz4Jsi0s5wuYrNwL3pdiLyIvB9pdT3nb9LgHTSXQ2YIyJrge58tX9eyqwtIqHAvyrD69pCYwzTzaduQTJdy5DKsjCGrrNk7sTxlsOupIW9r5Lg+JlWi2aatKYSJwlRbWX5lPZbXz1x7bQ00+3OWpCF6FjIwgOsXjy/oHZpMafSInSMDEFRMYZnnbiKzt7+GduwyUcxiaoCPi8nLV9c0PdvOAR0Zl1JjxX3XaXUzU5SmC9gF7jfAlyslNrvNJmT036viFwMXINd0qIV+EhODcNZwO+wPbE6gMeBU7P6dHkJ0LNzByCYmQhDMLO84VTYb3/NshYfZuL4Vgwjjz5K9KGHqfr0/8u8Fmjbwd5uRc8P/sRJn/sYscEhOp96jDkXvBzPIxtRW/pJztoyg1Ifv8xkHcOPYfvH38xwgfu359QwXMpId9P1wD+z/v6y87gJe/fsmEbXNebU1860GP86FLnAKCahS0VpCT39g4X0anc5xUtWr8fDJWdvmLghcPKqZew52FrQzv7LT1+XKUUxVUzXEqy2qoILT1s3I7GxaYrNSnrqmuUMRgpz67nkrA0FKfNpxWJSSUbGpThr6IJZhRVRTzO1FsPpVw0L2eQpRgEKBvzMKTDD8tGi2Iygs+sLDc8o/D6Yvk9NRwK2Y8ZeCCilfgj8cIxj5+Z57QHgpHH6e9OUCedyzDK060VguIahoEjVNWWOW4GRFkMFmMmxSoMfH3Rd9WFUezuhC1+G/6STSKXi1L3QzZ6beiH6Q54rL6Pxt98iNJDg8EUbaGx+AUyTBXuaZ1r045IZUwyVUnHgw85jrDaS8/f9zPym8KR51dmnzrQIR8z5p6yd8lIa00WxSSuLWVqeceKqjCVuyjqdJipKS1i3YklBbQtRHqHY3DPT9+ZnUinMptB3WFdVQV1VRUFtjQIVvVl11UTj8aIVs4kY/v5M7ec3HVkn/U6pncqy8JT1mSYjZwFBrWnFaqYyAB8p0+E1MbLfidsunTeL8nDJlHsCZAtyfH46Li6QbGkBclxJ67M8h3x+NFEIWpYr6fGrGMae34pqb0eA7q9/k8Zbfs/T138Lft5NKuTH9GgYX/oGWn0S01IYdz5OYmk1WHHKWnqgfRPUrpvpt3FcMZMWQ5ejwAUbTiQSi09Zf+FQcOJGwMtPWzfjOcGLrt9XxIJV17RMQdmCZChMguOGkKOQlZaECj6nUBfVs05aPeVxp6WhILFpcKeZzpprhSIiBbkUT/4CU9tdRnmawmRI4VCQ809ZO/Vu0FkUZjGc+fIlR8J0yV9MxmVN02ioKdyduyg5nOfj9fNxcdG6uoBhi6EGGDWNmePKO1zgPo2VKmAT+xil51vfst9LTQWpjRt57pNfIPKDmwlVaPi/9mEC/3MtA80Wzd2wP6azss6i//FOYhEI10WoeedT+CtXgDF9vw0vNVzF8CVOSTAwrYulsQgcA5acTCxToeUtivMKLIi0m19pgQr18UJNZTnnrF9DWQGKoYhw2gkrKCspbAymw+pz3ilrp7xPmD4Ly7HAdCXq8HoMgn4fqxbNm9J+C920KpZiLIZp90fjOPGqyKXYhF2FsnLRPMwde6iuKJu48TRSjILq4nIsonUNAMOKoQ4E64e9RcQfHlXH0Eykjpp8U4llWSQfehhj9ULKP/w6Ot/7TTp+/Ef64hpdh0He911K9RTlHsXGToNDpsbmPmjyWKwJm9BuMnTptQQ+sJW5n//fmX47xw2uYujykqW+upKFsxsKtqZMR8p7v9fL6SesoLy08BIUxwvFlNWYFrewY4JjwFd4upgmV1JN07jwtMJce15xxsmFuWxPgkKtUul3X4hKsXrxAqrKSqdlc+NoMF0WtdJQkDNPXDWlfR4JL8WNHJd/EXrtGPW0YmgAoeDwBq2UlKLBCKthMn58bogM/O73SDxO6ZWvZPOCMyjHx+CQRWmpMGexzoHnE/QldEqDSQ4PCfODFn7TYldC565ug3eeDIlBjaFv/5XWk86j8ZWXz/RbOi44dtKhubhMMZqmsWrRfLyewpIYpK1foSlOCFFTWY7HcPdgXopMh5X5WCG9eJ6ucjKF4PN6psX74NXnnMbJK5cW1rgIzdBj6MxtrDtuFY/j3RV2IhbOtl3ufF7vDEvi4jI5zD47JCLp3Jh0DUr8w2sWI1SJSI5iGDs+YwwHfvJT8HvpO+NkFh64n94hwURorLIwDkep9qYAxY4BDYWgRQQtoTNbgYWwvRXq5tujMPTYAzP7Zo4j3NWqi4vD/KZ6qspLC3KPdHEBqK0qp7W9C01eentslWVhFs9tYkHT1Ca1ORYoJr5x0ewmnt6285hJdDSdrFo0j8079hwToQDTwfymeuY31c+0GC4ukyYxaLuFpp1DvYZQlqUYevyl6Dm3t2T0+FMMU52dWHv2ELr8HBI3/wz50yYGI/Yx1ZskZgmg4RHFblPDh6Ifod/Z3NKBLYfh7PUKrcSL7Dk4Y+/leMNVDF1cHETEVQpdiuKkZYtZsWDujFrVpgsRYcWCuTMtxowzu76miLIMxzf11ZVF1fE8VnipWjhdXHJJRG3X+hS2RdDrlRExzUagFC1jMVSAkIwfW8lnzB2bUAd3oZ/7emSMJH7d3/4OkjJJbVhB5W9u5MU2nbhm4cNCU5BSkEwJCQVRhCCKFIoggg/FIIpeE7p6LALVPuLbXMWwUF56qxkXFxeXo4Sua1Pueuzi4lI4J69cygUbTpxpMVxcjgrJhEJj2GLoC4xMdOXzhdE0J/Nz+pzosaMYKsti4N/fQt9HP0vf+cuIffvDqL6OUe0im55Er69E23w/g30w1BonnoISj4VSkDQ14imN3oz3h5ACBlAcRrAc1fjBJxV+PUZqTzsDzQeO5ls9bnEVQxcXFxcXF5fjksbaKndzxuWoENtyP6r951iHfoHVciPxrbcedRlSKUEDTCctWKBkZA4Fnx4gNylyMnbsKIapv/0cszOJ9wQ7RGHopr/R+/rzUFlJxg719eFLxpC6CgJP7GPflhSmR1BKCOqKpKmRSApJE9pFMFCAYv0sjdeeHWSDN0WN2Krh7pgiFreVx5Zbbz36b/g4xFUMXVxcXFxcXFxcXMZBM9oxIx4SnU2Yg368Nd0o8+jG76Us2000fVV/1chyZIbuQXMUw4zF8BhSDKM3/gjxKUp+9FfK/vEi5jsvwzoUYcedv7WPJ5JEhl4gtbcVq+0QO59NYVmgBQRNFF6BpCkkUhrRgEXSBB0hjLDvoOLxx6J0WBoVgBdFAuHOLWAqkI130/rn95IY7JrZQTjGcRVDFxcXFxcXFxcXl3EwSqOIZuBf+TJMawGig9nfe9Sub6YSmJa9cLewFcRA7eiyUbphW8jSTpapxLFRrsJ8/mGSO7rxn30CEq5ge1sb1e98Negas17cyGN7NrO1dTOzhtqxEik69pok44p5Z/vp7YPSoEIpiCU1DN1if9K2mnqBIOA3FFWeFIYoYkpIFw3qBg6kDHx7m2koH6D7hftmbAyOB1zF0MXFxcXFxcXFxWUMrFgMzWeiV4Wg+Q56PRrKTGD1dx81GQZbmzMKYdoG6GuoGNXOyFEMj5U6hrEffhUE/B/8CgCRRCsD/hKM+WXEb7uPU+fFWT8P2m57gu4BD7EYLHxNKcnDCWJJISAW8ZSGaQqDQUVHUsMA0nmzw5rJiSuEs9cJa8sTnGBYCAoTxYEhYWBHBGUqEh0vztQQHBf8S2Ul3bRpU6eI7J/GS1QDndPY/78S7lhODe44Tg3uOE4d7lhODe44Tg1HYxzd9L7HOWZXG5of0LxQbtLR/jx10R4SkS68LD4qMrQ8/TwgaGKhlB1rqNWMVgw1b45imJp5V1Kr8yCxx3fgXd2AtnANzd09rJ2teGKvj5Ne8QoGv/87tt9wJ73lDYR/dR/xlMbck32Urill6/39gI7HsuhNGLQHNFr6BFDUexV6wk7Go9CouKyO+ICPkgM76I/qlJnQqyAKHOxR1G+LYsxyM5SOx7+UYqiUmtac4yKyUSm1fjqv8a+CO5ZTgzuOU4M7jlOHO5ZTgzuOU4M7ji6FYPXvBT+Yh7rR585jXvc2UBa9HGS0M+f00L55q/0fhVOIAsz60XU5PY5imHYJNJMKZSYR3TOq7dEi/sMvQUoIvO8TALT27qOuFBbXzcf7po/B9b+l+uZb8O6N0n4YwkGTitPKSD7dRUefEPQpeuI6e5VATBFHYQC1CegByksgOqix84UUC9YZeIM6wUGLJlPoTekkgMMJje4n+2iY75YlGw/XldTFxcXFxcXFxcVlDER1oeIJzE4PkebdhKwBVHwIv3H0rE/JPbuBYTdSAHPuwlHtdL+9tE9bDM2UgsTANEs3PvF/PIxR78M45wq6B4c4YbbJs80a1SVhpKwGz/J6hvYP0X4YAj6TaELjqWs72fdolP6oRkpZ7DY1PIZQM1vHQlgQspPLKITVr6ukzGuy9bc9bH8wihHQKPGZ1GkACgtIAlv/2knIbxHtaZ3R8TiWcRVDFxcXFxcXFxcXlzHQvDHUbX9Dbr+Gvb0eeOgpePApKrVunnnxsaMig9F+GBhWDAWFZ95oN1Y94MV2rLQxTSA5eDREzIu58xnMrhTe02zD/Pa2Pfg9Ql3pnEybgVWn0tsjeMMGmiiGojqGAfsPaUSB5oRGADjnHdW8eMBEQ1GR1Eh6oKJWZ1aNycImRd0sgx239bKz14uuK0JeixB2FtcEMNiXomd3lL7dT87ASBwfuIrh1HLDTAvwEsIdy6nBHcepwR3HqcMdy6nBHcepwR3HAlEH7kU99WlUfGatTzOB7H4aOrvQvbDk7usxHzyE+WgH9A0Sfuomfv+Rz0+7DJ4OO9FNulSFAKGaplHt9JDHKe9uYyuG/dMu31gk//ILADyveisAFaEY2w5ZzK2qzrTZP2Qnm/FIiu4BD2V1wuoLDRKaXbQ+CCwPmLzwaC9JpWgMCskExJOw+MJStHlhSuZ6qU8MMf8dS2ltVrzQ5ccwLGo0hYUigu2C27szQqJj69EfiOMEVzGcQpRS7g/MFOGO5dTgjuPU4I7j1OGO5dTgjuPU4I5jEQzshjKg+/mZluSoktzxHPL0U6T6vSSf6YOH2qEtDh0Jdt26nd+/+wF2/OBP9LVOc328Llu1SVsMNaA0MDrCUQt6M8cBLFNBMjK9so1D4tFH0EKCvv7lKGXRWAb90ZEpTiqf3YRlCf29gq7BgtM89B5M0WXa6u08j4leo/P8thQglMchVePH8IFx3jwGVzYRWl+GKEWofBanXNVAwhR293mdGFDBQogBPduG0KPNR3kUjh9cxdDFxcXFxcXFxWV8ShfZz73bZ1aOo4hlWSR//RkAtt/cwpN3xoj2mURiiud3W/zh67vwhb0oS/H0n++fVllS/Qk07AycYC/gwz7/qHZaiR8hK/mMxYy5kqrIAMk93XhWzUU0ja7BIUoDGophuc2UiWdXC6YlpEyoLUtAT5KdeyxiQJPfoswHT3ZrJIFqXeEBBjpiLHt1BZ0NKwie9n2Mly9GD2qEH7mP0OkbWL/UJGhYWJaWKVsRQzGwN0rImDkL6rGOqxi6uLi4uLi4uLiMT9Ua+zn6r5PuP/qH7+P39JGctYB9B4X2qMHjT1g88qTF3160KCvRePefL0R0Yf8Dj06rLImoQhhWDA2BcGC0Yigl9mtpV1LLAszotMqWSzIR4fknfkzb766GlOA97xUAHO7vBSDkHbZ07nniGaI9KRQQDEOoRBFrS7KrT8MQaDIsnosJHYOKCsNininESjyUVAtrLgqjapZh+MoYXHYWwdMbiB2M4X/hcUqXh5hfbivTpZBJQNN3MEpZiUW8v+OojsnxgqsYThEicpWI7BWRmIhsEpGzZlqm4wkRuVpEVM7j8EzLdTwgImeLyF9EpMUZtytzjoszvq0iEhWR+0Vk5QyJe8xSwDjemGeOPj5D4h6ziMhnReQpEekXkQ4RuV1EVuW0cefkBBQ4ju6cLAAR+aCIbHbGsl9EHhORS7KOu/OxACRYA7EYpHpmWpSjhjz3FyxvkK679pFQoKMYSGjsGFToCOs9JqVahPrl5fRseWFaZUkm7YQySedvQxN0bfQyXsL+ETGGSgGpoWmVLc2hlqd58nf/xsAPLmLlw7/Ge89doCk8r3onAEPxQZRlUecdlrvt3rsYGrQVWL/XwlPpYXvCS1IJs3wmO2Ma+1M6PlGsCuqkAkKsL0njh85B9wq1jfaGRXnj2/BddhLKBHNXL0adj6APNFGERWE57qQ9gwqA3j1PHJUxOd5wFcMpQETeCFwH/DdwIvAo8HcRmTPuiS65bAcash6rZ1ac44YSYAvwUew6rrn8P+CTwIeBk4F24B4RCR81CY8PJhpHgHsZOUcvPjqiHVecC/wQOB04H3uD+14Rqcxq487JiTmXiccR3DlZCAeBTwMnAeuBfwC3iohjAnPnY8HEUyDxmZbiqGBZFh49glVXR/PfWgChpkLwoxhCKEHR1wHdX76f2Us8DO45QCISmzZ5UiYjXEm9Y1Qil2DQfnb+VoAVPTqupAO3/gdrWveyv6ySZ6pqkIMJ9FkhpCxdRjyGtes+qnZ9maE/fZDIg7+mctMDmClbYq+VwvQbvLBX4QVCWOxMaWhAhYKufsWQgvo1YbS15XRpJcyrt12cNT1Iav0KtHI//c0Whq7QvUJAVwSUPRomEEeIH46SOOwmoMmHqxhODZ8AblRK/UQptU0p9WHgEPCBGZbreCOllDqc9XDt/AWglLpDKfU5pdQfGVniCBER4GPA15VSf1JKbQHeAYSBtxx1YY9hxhvHLOI5c7T7aMp4PKCUukgp9Qul1Bal1PPAvwE1wBngzslCmWgcs3Dn5AQopW5TSv1dKbVLKbVDKfV5YAA4zZ2PRaJ84BtDI3mJYe7eiu6F1KE2+pxErCtO1bGwlTM/YClo3hin6lAPViLFtrs2TYsslmWRsuxFe8JR+Xze/G1VybDFMK0cpganP6bOsiwa43E2Ny7gxHfdRl3j+Vh9KSKLh7OPlhlDSP8BUj0m3so4fv9DBHfux7KNePgMi80HBdOEcrHYGDOwECo8UI4Q08BMKlZ89/Os6dvMjtpT0fXh+Vg+5+34z1pAbO8gB2/tJDIAQd3Ci2CgMLGVw7bbWpHIgWkfk+MRVzE8QkTEC6wD7s45dDf2Tq9L4SxwXHn2isjvRWTBTAv0EmA+UE/W/FRKRYEHcefnZDhTRNpFZIeI/EREamdaoOOAMPZvTdr/zJ2TkyN3HNO4c7IIREQXkTdhewg8ijsfi8OoBL8fFWmbaUmmnaHHbgOg64FO4qbg8ygG9sbod9StAEKwBLoGdMqbbc1xx53T48nd1doJCJqojCupvyS/gq5COa6kQHJw+kuM9PTsJqgEyhsBqNy4GYD+pmE556lttkNn0MfmcClWR5xItwki+ELQl9TY3azwAS1KGEIIGLAgCYtW+HjtLxZx8W1fobkkhg+TmuUjHSR0owTrtacTOns+oROqCdbohDwWgp1Q10KRAnoe66HG6EDFps/Ce7xSsGIoIj4RmS8iK0SkZuIz/mWoBnQg9y7Zhv1j41IYTwBXAq8A3os9do+KSNVMCvUSID0H3fl55NwJvB24ANvt7BTgHyLim1Gpjn2uA54F0lWg3Tk5OXLHEdw5WTAislpEBoE4cD3wWscS687HYgjMsp87X/olK+TwE1hJRfujAySBsjB0HBKGsJUuC0BZWJYwOGhQVumh9YlnpkWW5m2226MoSCEI4C/LbzK0gr6MUph+TgxOf7mKzkO2Ihiotl07kw8/ioQ16vUYqb79pJ76DL6ezSCCUePlJL/FtmeTdnyhAp/HYnOfFwtFL2TqDs5JQUlYWHVVDYnQfKoueSPlB/7Jbl8ji5pWjJKj8eLPUfbT69C/8d+UrQlR4rEQFKWaQiEkgaF+C7Wjg+iWh6d9XI43xlUMRSQsIh8QkQeBPmAXdgzOYRE54OxOnnw0BHV5aeO4+dyilNqslLoXeBX2/HzHDIvm4gKAUur3Sqm/KKWeV0rdDrwSWApcMsGp/7KIyHeBM4HXKaXMidq75GescXTnZFFsB9YCG4AfATflJvNxKYDyJfZz/66ZlWMaseJxrEiUgDFI/74Eg1FBIaQGTbr6dSKawkAxBLQMaVTO1ejq12kIW/Tv2IZljRWJMHm6XnAUQ4YL3AeqAvnlD/kybdPEh6Y/+cxgh13GpKJuJcnbf0qqOUJi/SxKlRC779NIog9Mk3jSVmwPRTU8z/WRSELSFHb3QaepEUWwVUIIAfOrYe3PXo43rNMuOvvbdrEsuo+2pnOQfMl3NJ1AeDVVK19O78p1+HwWXg1KlN1vAsVQUiP6aBfm4WenfVyON8ZUDEXkE8A+4F3APcCl2DfVJcBpwNWAgR2gfaeILJ5mWY9VOrG/p3U5r9cBblbNSaKUGgS2Av+q82qqSM9Bd35OMUqpVuykFu4czYOIXAO8GThfKbUn65A7J4tgnHEchTsnx0YplXBiDDcppT6LbX39OO58LI7K1Xaay1jrTEsyLViWReI/3kHyU5ejJ5N0PzNEzCmyjiWklDBggeGoXQlgf5tFwhIqInGs6CD7Ht029XLttvvUxF5wCuBpLMvb1gwGEBmOMVQcHYthqns/Jora2tVErvsOWhD8n/4BlrIIPLIXdfNG1OE+dJ/GYCpFg56g6/G97Elq7FFCs6mTwvbxrkBIIKwoV6y78TzCcyxMn5fGoT20bL4VE2HJqonzbJW86Yt4/Bp+zUIpIYBtce1LCvEtfaR6dk73sBx3jGcxPBU4Ryl1slLqq0qpu5xdyV1KqSeVUj9XSr0T++b5F+CcoyLxMYZSKgFsAi7MOXQhdvyCyyQQET+wDDuJj8vk2Yu9uMnMT2dsz8Kdn0eEiFQDTbhzdBQich3DysyLOYfdOVkgE4xjvvbunCwcDfDhzseiEF8YolEw+2ZalGkhccsf8PS/iBE5hNUWp2dPkqQSNBQoiGKXPUhHzWkI8biiBzBitpVr29+mftr4DzU71xvOjKY3VedtawW9I6yFAKmjEEvn6W+nU9dQN19Lqi1O4E2vobxpJYmYBrEUytBR9+5EO9yHau7C1A0OtCSJYivYKRQ1YlEL9KIIaYoLrp6DZvRAdytdvuWEVZxTDt3D8+EV1JTn7uWMpnTRQoxSg4BufzbljiXyUFLAAulomb4BOU4ZM7WUUuoNhXSglIpjp9T+V+a7wK9E5EngEeD9QCN2HINLAYjIt4HbgQNALfBFbC+Cm2ZSruMBESkBFjl/asAcEVkLdCulDojItcDnRORFYAfwBWAQ+O0MiHvMMt44Oo+rgT9hL7rnAf+Dndb+/46yqMc0IvID7AyalwE9IpKO0xpUSg0qpZQ7JydmonF05uvVuHNyQkTk68DfgGaGs42eC1zizsdJkFCgpyZudxxx73//lt13PsSCgacIlZayeF4U/+4osbhGEggYipSlEREFyi5ZoQmYSmgyUhxOemgZMPB6NA48/PSUy+dt68a2/SksHEvg3Nl521qBwIgYQwWY0cSUy5RLSaSfbq8P/09uRC/X8V31dVJtL+LtToBPQ3vFMtQ925G7XiQ0J0Dzj7bQZwkWdmmKCMKcsElrv8YAwvnnlOO98CTU3t0gFuUr3kbrxgM0pnpIzn9ZwXJJbZDQnkEkrijB/nHvB1IWGP1Hp77j8YSblXQKUErdjJ3u+gvY7ilnAhcrpfbPoFjHG7OA32HHgfwZO0HAqe4YFsR64BnnEQC+7Pz/K87xbwLXAD8ANmLXOnu5Umr605SNgYhc6RTjPnWM438VkX1HWazxxtHErqt5G/bC8SbsuXqaUmog6/2kHykRaXEKkDdNViAR+ZyIXHZkb+uocxX24vs+bIUl/fhUVptjbk4eg0w0juPOyaMu7bFNPfBr7PG5D7tW4SuVUn93jrvzsSiCEPCipiGWbqZ44ls/pO2Rf/LoswPc82Abf7g7Qv/BOEkLLIRSv4lpCb0IgqJaFKW6RQpFytRp8pnogJG06H5m45TLZ7UP2q6hIhnFUF95Qt62yuvHjorMKlcRn37FsDqRoOzFfqw+i+B73on4/Az88T+ReAoqPUgqjnnuElTKpPuOTh66O4aFncExgqI2YGElhQEDDA3qP3YB+xLVJGvfT5xz8S5azb45F9Gml7F6+fkFy5WaW4dHV3hFOWUrwETY1a+j+qKoxL9GXc5CKagYjZPh7CrgPGxrzgiFUil1ytSLdnyhlPohruV00iil3jTTMhyvKKXuh1GeI9nHFbZl4eqjI9HxSfY4isingG8B85VS+5wmFxXQzdXAbuwSV6diZ9o9U0RWKaUm48vzOeCPwK2TOHdGUEqNORez2rhzcgImGkenpEIhc/JfHqXUlRMcd+djMXiqwNMNA/uhbP5MS3PEdOxqJdXbwfnr/Kw9ez33Nnex+Y/b2D9kknKWycoUFNCvBA9Q5bU4mBIGgRctIZCEJoR+3aJtqJ/BA82UzMlv0ZsMiZ4EGmmboe0OGZy/NG9by+cf8bcCrMT0WngHBg5TFrPgsQ60Oh+ef/sMsQMHCO3YR6I6jJRYeLuH8IRNOnfHefaxGAOmB7+jwCYQFoUStHZ66dJg+ZIgs5d5eaavifknX0ja0/v006/EOu3tI2oXTkTw/Jcz8H878WoQM+0yAgK80K9zYl+S1KEDeOa6YdlpCrUY/gTbta8LuB97xy374eLi4nLcIyKhI+ziLqXUr5VSP1VKvQf4NrAQeM2RS+fi4uJyDBCaaz93b5lZOaaIrbfbFWBm1Qrqrf/O0h47x1NLRCOpQESRTAoJb7qwvaLZEtpNjZSzJ9tnafQDNT7birrt+zdMmXyRoR7iQyYakFKAU66iPJy/cpz4S9DEbpXeXTLj05sUuv3Qs0Sf6UfFoNVbh2gau868hO2/7aK7dDEHnocXf3OQxNZD7H4swq6IBwNFGKEb8GmKutVhehFMC+acsxSfoQiVj1R+RdOKUgoBwidfiGEovJpCEHTHdbUjqdHTksBs3zdl4zBTmObUfb6FKoavwa75806l1GeUUp/NfkyZNC4uLi7jICJvEZGnRCQqIj0i8gcRmZ/T5iwRuVlE9otIXEQOOaV1KnPaXe24fa4SkV+JSDewRUSuxrYWAuzNcg89dxIiP+Q8L8y6rldEvuy8jx7nvTyZ6zIqIgo7zvYdWTLcn3W8TES+65QOSojIHhH5oojok5DTxcXFpTAqltvPA+MmyZ0yEvE4j77pzTzz579NS//7H9iEpkHJwjVs/9SVDD03iE+DNtOOLwwaFt0pjUMJJ4GJx6IjqdGoWQSBSoQginYUQeX0eecjUybfYG8LybhyFENb1ROgqqQi/wn+ksx/04qhlZxexdB89Hbi24bQDGFWVwtP/PprxLqGiA0p2v/zPrb9up1tdw7x9I/aeXHAIKApfEgm3m/Zci/9/XYwf20pNF02m1hKWDLnyCvKaPNW4vGCxxkMA+xkQsDhgwnM7uO/9MojX/4PHv3Yu6akVEqhimE7dlkGFxcXl6mkTESqcx+AJ7ehiHwGO05oL3Yx729jx/M+IiLZW6evB8qAG4APYbtivg34m4jkc8+7GajAjhG+DjvG9XfOsY9jJwD5N2AyOcjnOc89Wa+VAv+Onajq885DA/5PRF6Z1e7fsGNtH8qS4WsAIhIA/ontqvpr533+A9sV7seTkNPFxcWlMCpXgGlCvO2oXO7Zm29j1d6NxH77i2npv+uZp6mvEHoefYT6Q0M0mz68FnRju4r2pTQGEVLOlpvoGgaKBT4LA0UKqEGRQOhN2o06dx6eshjMSH8zSRPH5dJGA8IBf972mq8EjWGlUAGpxPQphsqyqLrxHgBiJy0FESq//WdSpmBaQn9CI5VQ+HTFvoMQtTSCmkJDMeAoaCdcXMnOLQliwLrVfiK1NWy3Xonfl/89FoN4vBgBHUNTGKIc52A7LU9Xl4kkm4/4GjPJYH8/K564l1QojJanrmOxFGqP/Rzw3yJypVKqZ8LWLi4uLoVx5zjHMomHRGQO8FXgaqXUV7Je/z12vcuPY9+nAD6jlBpRtElEHgN+A5wBPJxznReVUq/Laf80dpmAW7NiDAuhzFFs/diFtP8TW7n7a1abHmCuk9E5fb3vA09jK7x/B1BK/VpErgf2KKV+nXOdj2OXczkpq4zBDSKyF/gvEfmWUmp7EXK7uLi4FIToHlQ0Bmr6E5oAmLf/AYAlB5+n93A75fW1U9Z3IhJjqOUAC8pT+CMmQ29ezuDVe6nTLQZMjSGEoFKUojikwCOKjpgwz2MR8kMwpogpCCIERdGeAkERi5n03n8HFee/6ohlTPUdQCk76U3adVWDMZUA3RccUccQwEpMX6Kg6A8/C10p9KBO/TevYveHvk/fbXZ9wPIPXcaB624DoFK36DQ1BCGREgyEDhRNYcXgrkEOxO2kMw3nrGTW2k/lLV4/WfQSHUOz8OoKT8p2sTWArkHQVfuUXWcmeO6vf+bERJyqS6cmVUeho343EATaRaTZcVnKPKZEEhcXl39FPoIdVZ77eCKn3eXY9/GbcyyLfcDz2ImxAEgrhWJT6rRLF5Zal0eGH03h+7kT6MBOi/9H7JT3r1FKHcySz0wrhY5baSW2FfHBMeTLxxuwFdzOnPG41zl+7lS8GRcXF5e8pASM6c9KemjHXpYdeI6tc9biURZbb/5z5piZiNF169tovuubk+7/gW/diGWa1BomHp+B0TMIQJ1YCIokijogFRRilhD2CoZXWFAioBRBDZLYj3keiwSCV+xYxIM3//6I3nsa/1AHYCt56RQyxjipqTweWzFMnwNgTqPFMPrLP4KAecFsIn6djuYkKQu8fqEm9ggJTSOgW+gekwhQgkIhxFCYCOtfU8rtfx8iAlyyTsM65eIpVQoB9KoSDCczqccZFR3ojgsy1DWl1zrahO7+M/vq5rB8/YYp6a9Qi+EvgRXAtUAbOLZfFxcXlyPjKaXU47kvisjHsFPMp1niPI9V5DuzQSUis7FjBC/GTvefTVmec3cXKmwBfATb5bQM283zbCCa20hE3oNt9VvOyIyyhd5blwAnYCuh+Zi6LXUXFxeXXKQEAgmUmUT0UZ7/U8b2m37JSShmf/lrHPrQO9AfvBs++n4A2p66hYbSFN7IM1hmEi2PHGYyxZbX/DtaQwMrf/qVEVa2B776DYyf/wwQ6vwWAUNn/xODaAJ+JYSAiNhxfXsStiIRi8PSM5ZQnkrQt2UHIU2BqRFH0WCAL6EYVKB0OPiPzaw+wvc/2N+Of8hWVgV7pxHAO47e5NF8I6yFAMnY9CiGydY9EFXolR5Cpy7huZZDGJv3YwLlFcCWXuIJqAkq2hw321LNotfS6QVKA/DP+6L0xWDDPJ1Vy4Lw8sunXE7f4lnoT/WiK/A5r2kI/SkwuwaxBvvRSkqn/LrTza6tz7Nk/3Y2vuXDU+JGCoUrhhcC5yulcnfxXVxcXI4G6TveKxneNM0mCuAkXrkbqMEu9r0NGHLOv5P8XhKjFLcjIKPoisitwAPA70RkqVJqyHn9rdiZnm8HvoEdw50C3oldeLsQNOyYwv8Z47jryeHi4jJ9+GpBPww926B6Td4mlmXReusDNFxyBrrPW/QlzJRJ06N/Z1vTKjasWML9J57Lmkf+THdrG5WNdWht92OVKkqC0LbpNupPuQKwY96ij98EWjm7f/4cJZtsR4otb4uz6tffQNM04vEEq//xK+6w/JR4YiTrfSSDXtqejhHQFJYSSoDDSmgBoinbbU7T4KwffB3zqefp//jnKPcrSEISIZ6AelHsUBopBZ27Y8Sa9+KfPfmSHj3t25CD3YCt6A1gZ9b0ecY2GRq6F03sMhDpH7xUbHqsu10//jIewNPkQy8pIfTB39CXUOgahEKwf8gHRKkIpHixy4tPU+xTGoNACqE/ChIzmQOcvlw4eOHbmRcITrmcnkUL8RjP49GGExjYUYZC564Ida178S7JXxfyWKbl/35LtW6w8rI3TlmfhaqXB7DjZFxcXFymgjOLbJ+26h1QSt2b55FOAbcaO/buk0qp/1FK3aqUuoccRUlEKhhZcD2XI/aKUEqZwGeAJuDDWYde78hzqVLql0qpO5VS9+brYxw5dmNbQ3uBe4BdOeMxSjEUEZ+TwXT9JN+Si4uLi03ZCvu5Y9OYTbZ/4QfE338lz1/8bswiC6wrM0XLdZ+kLtKFutgOAW+47DIMZfHCzX+mr3kLdeURWqKLiMbAPHhP5tz49qcIrq0jdXgH/v+7kf6SCnqbFhK69xa2vPMLWJbFE3fcwJ6n47QeTlDntYjNn8+gptPXZxEQi6SCEsfm1goEdbt64KLTF1Jxwgoq33YZogkBXaGjSAIxU6jz2i6oCctWLlt/87Oi3ncusaEn6XvOTo6isC2GOuDzja0YenU/krO6T0xCMVSWxd7Om3mq5Y8AHPzuf9L6x5tHtPFse8G+5oIAZqKf2JP7ADAM8Aego9mkvE5j66DOYYSDlkafEy/pRTEvBMsDwqJaofPSdzDv3z5StJyFoM1ZiMcLuthxotkW1Y69cRKHXpiW604n0WiUxY/ezZYTzqCqJn/pkslQqGL4ceCbIrJoyq7s4uLykiSrtMJYjxsZHUM4EX8CTOBL+TKLOvF1OG1gpBcNjFYCPwfsHOd6Q87zGPnAC0Mp9TDwGPAxEUmnVxslo4gsAF47hhz5ZLgZOBk4PfeAiIRFxJf7uhPX+C1sK6WLi4vL5Kk/DSwLhvI7J0QPdcGvfkw8WEH4+QeLVg6TLz5N9ZaHkIDO2tJHSbz4NIvPOJmWklo8D91N3zO/wbIUleuvpCs5m7pwL5HOAwBY/VtJtfXR/YXfkCwJ4+vpQzoOMbDhFYT+/hs2n/4agh/8EV0DQjSlCKPouuMgz98XAwS/KOJK8AFeZ29OmeDR4eU3/9z+2xC8DXUoE0ICKRQpJVSUQcBRO8QPB/96/6SHeF/7Y8zXW+jd1o+GYgiwnBIPobKxqxL5tIBTx3D4RyYZK77AffPAduaX1rC41Ef3nh00tt1J5ZM/JNJ6GACz+xDa4UEwNPQKL7En9hKPg+ERQuUaMdEZbEtgmibb4zpeFEsMk0bsOL+lIUXJEGgRRd2JYRb8+/8rWsZC0ReswucDsOsZ6pk9V0XH/hgqsm/arj1dPHfn7ZRHBwm96g0kk9EpKVUBhSuGf8BOZrBdRCIi0p/9mBJJXFxcXio0ZD3em+e1j2LH6heMYwH7DPBG4FER+bSI/LuIfF1EtmGXawA7BnEn8B0R+YKIXCUitwOnpPsSkSDwHuCZcS650Xn+HxF5u4i8SUQmG7f3baAOeJfz91+ABcBfROR9IvJlbEU5XxbRjcDLRORTjgznO69/yzn2Xefvt4rIJ0Tk59gb3A1jyPIb4EwRWTnJ9+Li4uKC+EohEgWrN+/xnZ/6Op74IJU3/Jjomz5QkHKokkliz99NqrOd6NY7SL04QOfSBRi+Pjx7vkLirutpO+lclrRspSK+g7b+UkoaFlOy8gp0Xeh45EbiB7YTWF7NoU/eRKpnEBGF0gT/UIzyt78cq7EBa8cOhtqSpLzOHt2QRrI/hdIsQBFL6iQQdFGsDKaoL7WLxc9eFsJXX83TD3yDwz94GYHVSZQSwh67ZEUS0Dw65dgLdL3CQ+vT7ahU8UpZ18A+Qi2/RhOdrt0xdOxMa2BbDIPVo/b+Mng0byYradrpJBUv3gmmfeAF1GALZRr0PGYn0jGI0/PL7wDQ8eivsHrj6FW262fX3w8DApYiVCZ0RTQs4JkuO57vnPI4lqkRwa4jeOYSKJ0bwBsQvOdcWLR8xaAtPhHDEAxN4dWG4+i8QHtrCkONFa5/bJGIJ0jEEyjLoumOG4iUh1lz9nk8e8u72fyLy7Cs4udaLoXGGH5o4iYuLi4uoJQ6nP6/iPTmvua8fmbO31cDV2ArPF8GZgFREfFiK3GfxQ7x+AtQjl1zUAMOAhHg/SLy/7BLV3wD213zP7Ctc3cCrwDSMlyM/Wt5IOv6HuA7jgxV2HF/D2An3fqFc63ficjZQKVznS8ope7KefvfEpE12L/dzwPvA24FdgFfE5HPYieGOQysB16WPgZc48hyD3ZZjX3AN533fTV2sfvnnTGZB2zCjlO8DPgSMIDtoroDeFJESrGVxO8ppa51PoduEXkEuxTHF3BxcXGZLCkP+EdbKbqf3kHgvj8ztO4CFq02qb/g42xRFuGbf8zeH/2RRR/LH0qd2L0Zf+NBYs1RfG2PkbAUVauE5Ib/IvXkb/EZd7Ns8Ur0BxXeXb3IBW8AoGLRBtqeNdj04VtoPO8Z1n3pfBIPb8NYM5vEphZmnVNCy0ODRK79LpHdbfQNeagKm/RWGOj7FV4EDYUp4BNbWYgpRXnQoqEKdjUrdITg5WvY94MLWZtI0atB9SqD3jshbChIaMRQxAYVc/wmzTGNwcEUgagQ2bGF0Iq1RQ3tnub/Y73HgyptJNURwQf0IujYCp+/LjDmuaJp6I7ZZ9hiWFzyGXXwn5w4tAkiJpZeQmPXNvqllsG69dQfuoPHvvEl1pjPEVOg1/kwlUbvixFA0ASCYdi5zaRDg5glLPKm0ERoV0IKxUm1EKjxcPpnTyJ552ZiJ5xRlHzFIuEKtIDgMRQeU+FBI4ZTsqLPwqP1Tuv1p4qfnfhGlMfDq699LWU7mtEWl/PiXf/DusPNbGxagKYVqtaNTUEWQ6XUTeM9jlgKFxeXfzUeBoZyMpLOAy4FXgVcgv2b9hdsl8mXYyuIF2MrOmGlVAjbahbHLt+wCrgJu/zEp5VSZUqpSqXUW5RSbUopUUpdDZwFbFJKXe28dhg7m+hrgTcBi7EtkzcppeYopXTgt9hWvrdkXed2EUlHq98NdAHd2Mm6TgJ+AOhKKQv4Ibay+GnsOMifYCfIOVUptQpbeQTbavg97IyjT2Erq69RSpUAc7Czkd4DrAWuc8YGYKlSqhrb8qg7Y7gU20rZkjP2TwLnjPnJuLi4uBSCpx78flTvrhEvH/jk1SjRWPS5c1HVFhy4heXf+RRJbwlDd92XtytlWmgeO+m0x3wIWu38m6H5fjqe+AG+Sz5D3Dyd2qYtWGEvQ7si1K0bzl7Z9bzG4OEkO2/ZRuefnsVSEHn2EKVrqyhp8hKqM4hvaWXnoIdeXagIJjjQalHpsZO5aMCQKXiUbc0yEfqTige7vFgKghqcF9qBzzJ57uRLib3+GjwlOr4SnaBmK8dJhEhE0RAwAUXvgB2XOPDsk0UPrR49SMRSxLpNVNKOWxxk2LXVV18y7vma42maUQzjCpWKFXRttemrMHgHomskTQ8S6cF3aB99Tasof+tVRPYnOOHOm0ndthUAzyyNoR1DpBKgGaDroAk09wodFoREsTqc5LEeLyawokQ4ZSloIYNA6yHC1QYVp02vYghgVHkwdLvAfToBjQ70x0El+1FT5IpZDKY5scL+VMuf2dR6O9ue2Ebttheo2/wc8vef0787Qt+D7SzacQ8tHo3Vr/7uhH0VQsG5TUXELyLvEpFvO493icjYWxYuLi4uxaED71RKbXEscXdi1/X7d6XUNqXU/wGP4NQsFJGF2JavNyilHlRK7VFKfR+4A/j3ca4zF9uSlvvaDuAhpdQBpdSjSqlfFHGdD2LHA75eKfWkUmqHUurXSqlnneOfAr6tlPqtc+xLwEOMjn28Ril1u1JqJ3YcZCW2EgjwAWwr50eUUi8qpW4Brs/zPp52ZNivlLpfKfWHnDat2Eq4i4uLy+QpdxLQtA+HjLf+9RHCWx8hfsmbUZE2Bi78AGbSh37wj8SWnYR361NYKZPuZ58bEROV2P8invI4Zks70rEXqyVKX0UVh1JNNIWa6dn9BMaFHySeqETzgLWnH82Mw57fQdtTHLprB7ooMC2e/+ZDmEpDDKFmgYk6Yx2kTPYPGPQitKfgIB66kxrlFmiiMPx2bb2QrujW7UK0OxMGhqao8EJDjbCjqpLy9/yJE8/+FI2z1nPIELyNATyWbXFMAbGU4PMJBrZrqQn0b9lS9NDWSpSk5mX/c7YD6SC2m4vPUQyN1XPHPV93FMP0Ij8ZtyA5OGb7NCoVg5IBxNIQDQAAptdJREFUzKEE0nQWe/zLoLkbLIvYqkq2fvljGB0R9EYfVto7NSb0PtmPadlKtS8kPNdpcBBbMT2tLM6DvX5MoB7FGRf6USmFYKE6+mkrORlfRXlxAzQJjOoyvD57TNLjmM5M2tMyhNl1dAvd9/V0s/uNL+OBH3xnzDYpM8mKcj9rKv089cOfggjeMg8vXH8AywRrMEVq1yDB5xKkrrpsSpTbghRDETkJ20XpO9ixOqdgx83scY65uLi4HCkHlFJ9WX+3ATuUUomc19Kxfidh39dfEJHB9APb2rhwnOsEgNyt0xuxFbAdIvIDEblEJJPXrZDrnAg8nCMrAI5LZyO2UpvNw9iuqtlszvp/WnlNv9/lwONKqexgkcdyzv8R8EYRec7ZwMtnGYxij4GLi4vL5Kk/DZSCgeE8Xu3X/ZiUJ8Dsd69Bff8PqKEobf94GjVrFhWrBU+0j+c//nkOn3cZ279pL4gty0ISW4jv66bjDT+m+xsvEN87RPVJTYSXLia+tY+Ot76fQ/91OcZgJ8mDUaQzSvyBH8LcuSSSBzm0sZdBBT3A1n54oMeg3RAk6CHar9HSCj1KQ2HfzB877EFQhE2NcLkQdu6yvcDelIYHxTm1CV690CKeEHxLSlj9rlsJhYazP7ZWNVK+UNA026KYTkBj+XTChm0tjAv07yiuelDfUCtNXi8hf5i2B2yHj56souwaisDpl43bR9pimCaVsCAxsWJI/14Qocdfg+geKmvPIb69F+X3MvsvD7HixU1sv/QSjIUhVMJCvDrJp7sZ2JfEVEJrQnikQ+PpHSYJoFYUm/u9xEwoR1i01EdJCFtjPnMZG1/zHhq/+L9Fjc9k0Wqq8fkUInZ8BtixowBtuyJED2we++RpYPM3v8Ssrlb8W58es83+/q2EPH40oOqfjxIOKmqDCQYG4IWkn/s7/dz6swHu/l0nDzzej5UozCo8HoU6o96AvYh5Z1YtrhDwc+eYm/7cxcXlSMlNSKPGeC39k6c5f5+cp914tQk7ycn0qZR6WkTmARcBF2C7ij4nIhcewXUKITcjQKZ/pZRyErAW7NmhlPq7iMzFrvd4AfA3EfmDUuqdWc0qgeMj0t7F5SWKiFyFHQfdgB2z/DGl1EPjtD8HO9nUSuxNo28qpa7PaVNUn0eKBKpRQxEw7cVo//YDhDY/TOS8y4j96c94mjtJDqbYf88m5NB29n1vK+GAjud3thND72/+zD8ffBbfQxsJLajAV6bhHVAEvXFSERNr017Crc3sfqCf9gMWwX37CV1WmfGPHPriLzBNi4N7Y8RNRT9CWFckTIhbwpMtQvlTg/j+cCfNQz6iKOq8irAfnugX/ICOYuEFQZ6+c4goijZTI4xigcdi4foQXQkBEgy89uJR8VueeacSnrMbwwMhTTFkCUkgmRDKdEVfShFD6D9wqKhxbW5/hOWxFJHHDmI8twtQ9GO7kaYQvIawcv3Lx+1DN+yfjUwdw4SCVAGK4YAdem8GwrQO9VDnr8Fs60LVlsCD29lxxatYsjxJ6kENZYJR7yfam6A7rrE7qRFTQlUIOlP2D7WphIgSygA/sPbVQVSL/bNp1JXgLV1e1NgcCVpjE17vNkQUAVGg0o62iratEWb37z9qsjx1x19Y9/g9RA0vVYebx2zXHdnNAm8J9970NLHmbgKGiepSaKKzt0sj5FX4lYlR6iFUCuL1j9lXoRS64FgJXJ1WCgGc/3/FOebi4uJytHkGe4lQr5TalfPIjavLPS/XUodSakAp9Uel1AewrYHnA4sKvM4z2Nk+R1VxVkr1Yy/kcoMozgSKKZ60DdiQU67j1DzX61RK/UopdSXwbuAdOeUrVgFjb1G6uLhMKyLyRuwY4f/G9jZ4FPi7iMwZo/18bNf1R532/wP8r4i8brJ9ThlJHbz2/tb+b/4EURasrsB73xMkBlMoYPZzO9n9rReIa9AfMUhEFT16ENnZgffBjYQuWIFRU0Lfxnbauwzi9aUYfo3k7i52PdJH+wGLQBgi3Rbd93dhLCnH8GmoRILYV37Orm/9HwkUguLl63QWGIoyoMKwuPeJFFu6PUScLJ3zfSkMr8JC8GAHhe+4b5Ddg0I/Qo1hUY1QH0rh7U9waHsCTYOz/+39o976/FWXo5UbhMIQEAuFEAeig7aiaAFJBZ0HEkW5+EUGtnH4e1to+X/3MLC5HQGiCGHsncNwEEQf365j+O2fifSPRSoFpArYx4zYjiplFfUcisTofOhBDJUg3mfLf+JZVZQM7Sf1woB9HZ/JphcttsYMTAW1KAaHbJecEiwiCHUomlCsfWUpnt4EVtiO8EtVlrB03pqCx+VI0ecuQvcIHl3h11Vmx9cHtG2PoiW6j4ocne3t1P/wv9jTOJ/nL3oD9T3tRKP5P5tApI/WK76I9vGfIygMsV2WEdsi3aibnFyR4Ny1wpL3nYOo3L3m4ilUMXwR2xUqlwbsuBwXFxeXo4pSagd2+YUbReQKEVkgIuud0g6Xj3PqXcByEalKv+CUeniziCx36rW+BegHDhZ4nR8CJcAtInKyiCxy+lvrHP8W8CnntSUi8hXsJDjfLuItX48dG3itiCwVkSuAEasVEfmKiFwmIotFZDlwObDHqWGY5izs+E0XF5eZ4RPAjUqpnzjx0x8GDmHHEefj/UCrUurDTvufYHs1ZMcoF9vnpIj25VQo89RCMEiqbSfGPbcyuHAtjXfeQmLQJBHQ0D0abW06HXGLx1LCZqAjqiNDCXyGRen7Xs2an76a+o+tZ1ZDksFKnccfGOLRToN/dHjZsduipEoIkcSjW7QdsNBIIZU+vHODRPpNOvbGiAGzmwy0thhzy03b9c6CkK7Yl9QYUFBfLvgM2N1vu2N6EdoQHuvRiSDUaBblllBZYlF/UhDWl7OzQ6hbU0Fd9eglcFn5HPaV+SlrNCh3DDVJhFjMvi4ICuhpT2DtuGXisd38AEOP3ET4gS303b6fkvMXkEzZ7rEKKBW7z4o6zwQ9gebJsRimFCSHxj4hTbwLAL+/FE2rIvnsPzA1D7K3D21BJSJ9WH0xUgdtRWbXHou9fRrlmqIBSGl2FrZ0Ap8KzWJ1SYoSHRaeUwpJRbIkbJ/rnU3QHxxDkKlHX3M6ooHHYytYOmBhWzI721LoHJ3qe9u/8XnCsSH8n/0mXrUHDUXL7mF3bGWl6H78/9HxmzfgvfwaDj/UxWBC8Ilii6mxManT4cS1xuIaCUtjcEcEf2poSmoZiipAuxSRS7AXNl8B0lkET8VOd/4Z7J0p+w0pdXRU7klQXV2t5s2bN9NiuLi4uLi4uPyLsGnTpk6lVA2A41UQAd6cnRhKRH4ArFJKjYoLFpEHgeeVUh/Meu312NmSg9iGoaL6zGb9+vVq48aN4zUB4Jlvf52yn/8W448/Z84KO4JI7foTWE+y/7dg/vD3dL/qFcx+6E4QwfALg4Eg+55K8owGcQtSzpJzkaZYVZrCXx9k9ndeTez+B7jz+nZeHLAtYRq2RScFLPNZrAkmSaR0eocMZp/so6ZOGOiM82S7l5ZdCSLARed6CW7pJ2Fp7BnS6Ytr1PtSPBP3ZJUzV0Sxk8N4sRWnkFgElbC40qK1W+fsK8NUnVzCfT/rZvfmBMtv+zfOufjzecfkyT+8h+U3PcbQwTh/fk4jhNCkWXjCKe7v8xJE4UN4+x9Po/x1N+btI9XZSmLXnQTX1JPqi7D7nC+ih7yUvGktf//MYzQDHoSFusl+U2fDRVWcfeejeftKs+uENTy3OUY70I4Q8sInd1yHzH3FuOepp76AKk0g8y6idaCJuu9/AErDJG7fjnXBIvxrQ6hHDjB4ZweRqMVdOz0gUGfaCXIGEFqAKrGIKo3zKmPEB7wEKzXWvL0C+hI8pZ/Iii2P8MJ13+HUEy8ZV56pRCUTdJ+8lLZ2nb4u2JTQiGJ/gboQPvnXVxC65LpplSEej5F45VqePv9yVn/g3ZRc91ZSD/Ww+WP/zamXvg4z3svAfe9B39TBvh8dwoqaJIMa+1s1MCz2pDRKPIrBpOBHUQssKTXpTiko8XB+y1bEKCxKUEQ2KaVGhQIWGmN4u/P8W4ZjYtIW6tuy/s6O/znmmDdvHoXc/FxcXFxcXFxcpgIRyQ5eqsZeJ7XlNGvDrmuaj3rg3jztDac/mUSfReM9aTnqmkHk2u/Qfs03qQ3NhobToeVJEn99gER5I5V7HwcF0uDHd/lCXvzsLnp9iv6YxhrDYnYVbOyG7UmNg/1eViZi+D9xM/e0GhwYMNgwW9GYsuhpEyxdOCAWL8Z1uixo8lgMiGLPk3ESZcLhXgA735eOYqgljt+CVBK8pmAidMYNAkC112JuneL5Q0I0JczGzsCV9Ch6k0J1vUZ7B9TUQuVFszn4QCs7n46z7kOr8Zz0qjHHpGTRORgVTxHoSBDUIGkpkkoo9dpL5JCuiJhC6yO9lK27A5l38Yjz47uexQjvwb+smqGne+i44Q+YXTFmf/tl3Pe+f3IAwYtdQynqrLqrTl094Wclfg8QyyzULRNIRSb+kK0I4OPgQDe+LY+jRSO0p8rxxxX7v7cTvUSjab5gmRbPtRrELKFJFEPO1RJB0CIgIpTpFmG/zlCvUF2loCOGOb+S2ud2o9WUMGfW0c1dKR4veoUH/6BFf7ddssLeJLDdMntbuwlNswyHDxygRimMxcvZ+9zvWBsySAHJrQ8TP28tiX98mJKBFC9c34GuC/PfPZuHrm0BFIdEo9pjsrRBeOqA7bbcjBAd1FCWMD9kj/uRUqgr6XlZj/OdR76/zz9iiVxcXFxcXFxcXKYNEXmfiGwUkY0dHYXloop17ccs8ZG49VGSj/2JjqGDSKiB/vsOoB84hLr4VYQO9iKG4PvafzKwsYtkXLHXFEo1Rb1msfDMAC+rN1kXMFGW4smIwY07PDQPCOctEc5eqhEwAISg1+KUEpNzyuP0pTSejXjYbWocUBAbUiwvt2jATsqiCdy9U7iv10vnoIFfs904ewEDxQnlSZIdil5TCKGoQVFdBpIUQOjoUKRMYdkGPylL8dAfByhp9NH0/lNYU7NqzDFZuOIyrCY/ApT67PivlMIuXgSUBG2lY+etzdD+91Hnpw4/jxbwkOpbwqEtESK3P0fVWxaz486DPN2WwA80ogihiCpBUCy4+K0TflZawMB+ZzamSSZJ0LhIArwhgoO91PQeQAHhg20cPqyBgIpZ7N+Y4MBhYd+AMKsKEkpspVC36IjY2c0ilrDyRD+D/YLugXBIoSyFFQxRfbCFnjNW0ljTMLE8U4zeUEXAa9eZTAfep61dQ+19Y5w1dXQd2AtAePY89L1P0OMVCOjU736G1H0fIhA3aXthDmZ/nFkXlNGxN0bE1Ej6IZqEEypT7OsUqgyLcyuSlKDosIROoNdjkEzm5scrnoIshkqpB474Si4uLi4uLi4u/9p0Yifrr8t5vQ44PMY5h8don3L6k2L7VErdgJ1VnvXr1xeUsSJQXUc4FWHAF8D82p+J3dLIzj/paP/1BMaCCmLd/7CthXVlBBIP0/p8lDYd+pPCWt2kP6HzxJ/igAcDOC0MhwYVnQasq06yfEWQWL/F4UOCx6cYjArGrFJmdXdzRVUcnBi77n6DoYTGoX7Bi8JAuGBOiu3NGjssDUtTvO1VPlr+FmcoLtSKxeFeg41JjTiwTIOyUignQcyrM5DQiZqwoNxEX1PDA9fspa/T5JJfnMX+0Cpm6WM7wvl8YXbOLWeWp5fKkMXhqBBHoUwNnyi8fg0GoH3vIEnNwHPocaRhOGeY5k+SbO0lEQwy8OVv4WkMETi7iSff8gi68wEGsM3BMUvwauBdNbGlTQv5M2ZksJUfc2hwwkW/MkCGeqgMexjcfAjNX0Hvk7uJdljM+vBC/Lvb2H/vIE936Xg08A6l6MUgIRatpkadKDRN8HiE+UtK2LUpRu06P5pEMUWj//Z9dDXMoeadY9fum070efPwPHcYXVMEneIlKedY377eab/+0EE762tlYy1lj/fwYu0s6suTNHZ1EojNom/ZOfT9z134KnR8y0vY+sWDCNBmCo0hi6FBg96IUC8w1OehThO8FphikYik0KwkdtTk5CmmwH2Dk9jgj87jqyKSLyGNy2SJDcGPPwvXfxo6c+tvu7i4uLi4uBzPOLVONwEX5hy6kKx8DTk8Nkb7jUqp5CT7LJoV572R3curEH+C5Nb9+L7yF+Szn8asqaTxmrNpeHI3oguRpXPwRA7QtTvGPkuo8Sn8poZuwKzaJCvfXEpZIMXgANT7FCtMhTagsffRBLueNlEKoglIWkLH9hi7OgI80eOlGx2/YVE7W+hRgmVBQqAkJJgd0Iiw1pei04Lf/DVOt5Nyy1LwRFIjoQuXnBmgxBJqwinCjTpDaNSV20lI9sV1bv5aM7ufjrHq8lqazp3LgppTJhyXSP1ivLUeakpt/TqBkLQgIIqhuG3RjAKtfz0IzX8eca6nLkSyO8ELb34nnkSKpo+uYPtnNtGWggqxF+l+BL/HIqEg5BP0YMmEMmlh2x42XJABEgMFJFfxGBAbIrn3AKGhNpLbeug4aBE+oYLSzi5oiTIoMGhp1OoW7TGdKIoWpVFjKCqUMKBpLF7qo+/uwyiEhlfbed569yTR4kl8n/8u1RXVE8syDRhLVyOO4hoW+/OynFHq2TVEcnB6rYZm635ihoeetkcIKcG/5HwOzl6CDKZIRhKo5lOI7z5IZ8Dg4Z+1E08KEU2RSMJ8UrQOaQiKZY0WFaEkUct2iV2kKRb5QbxHnsyn0AL3FwK7gTdiBzhHgNcDu0Rk/GIqLoXzh+vgn7fAw3+BL1wO7QdnWiIXFxcXFxeXqeW7wJUi8h4nE/J12JnfrwcQkV+KyC+z2l8PNInItU779wBXMjKr8bh9ThXlH/kEJZZJtKKGgZsfwju/lqrvXUnszt0YKYXu06gLdRLdG6Uloohb0JhSKIQFryqnOmxSFo0yfz4EPCaRuKBpikRCY6DHLvWQREiZQv1cjbDHJOWxOGRqPNzhoTOuMThkMoRgAX1KmB2wGIzqaIZFKKmzAKEjIXQidADb0EgpYUkK2h6O4Q0KVU06ZtIikhBmBUzmzNJRhnDSq0p521cbWP+Vs9mcaqQhNLECE5i1Fn2un5oy++8UELWEoAa9Q1AWsK2I225uhVASFbVzNKY6D2FUhTl8x3OUvLCH0tfOpeN3+zhwIIqFEBI7r6kHCJTb5TDKSwuLIZOQD2HkIj81OH5WUpUcypQ70NvaSXUlOPRAJyJQYw3Q8+wgzfssdvRo+DRFf1KjCziMUCqKmpQQOmMWVtJifmcf/Ukvofk+PKvPo98TJBCPs+X8N7Pg5BMKeg/Tgb7Wrhqlh3SCenZyFMXAoQTRlhen9frewy1Eamph78PElEXFH24jlIiBqRjsTnL4+z8joQtbdpjs2JnEEosOS5g3x0NvxKAbaCpVzLuwhCG/Tgp748EMGYROCKPUkWclLTT5zPeAnwIfVVlpTJ0bz3XA0atQ+VIlGYf7/winvxpeexV86fXwo/+AL/4GtIINuy4uLi4uLi7HMEqpm51yOV/ALvu1BbhYKZVOUjMnp/1eEbkYuAa7/EQr8BGl1J+K6POIeeTP97P52vtZvaic6pZuBs68gOXfu4TtqV7qbt0OumD4BPoTdD5oclhByKfhiyuCHpPZnziJ3v95jNj2PsLLQsyKRtl7QCNuafg1C6UJKRNSJsxpNKmutNh9GLotwacrTFN4oNtHrShSYtGlhHIU3k6IA/GEht9QLGzS6G62Mgvc8jqD899VgdWSonOXUDXLJCgxdu61Sy7Mf1k5a8MK1VSG5kvCyjlISQh8awsal6YF56E3/AK/V/BpipQFcUso8VgcTgjLqnU6mk0GXuyk49FualI3wQkfJ9myHRXsJvLTv6OawiRf7KF74yCtSiPsA4mnM6cq4l57HVhdQKkKAFVqp1HJjjNMDE1QrqJvj525RzRo7mHohSFiEahsEGIRi8c2C1GlM+j0eRhFCqEWRUgJkVJh/6MHqfVbBM5aRscte5hz5RwCl3yG/b/fRmn3YU774qcLkn+60FacBprCW2rg6UwgTlkNDzDYlSLVfQDYMC3XjiTiLO5rITy3hsb+TpKeWhoiB6gdSpECAlsHiD/5FB0e2wHYQHFYCSkEb1uCA0oIexXrG1PET1/C3l8/R5nPwkgJg/0WoQYvljLRKWyOjEWhiuE84PtqdG2LHwDvPSIJXGw2PwJDfXDWZTB7Cbzji7ZL6YN/hnOvmGnpXFxcXFyOUyzLorOzk97eXkzTnGlxXlLouk55eTnV1dVoRWziKqV+iF3/NN+xc/O89gAwbnDZeH1OBT0H2qh96CG6PvsGFu3+JdtPC7J5zy4W/uoREkNJvGvq0Vq6MXcOcGiP0IcwJ2mhC9SETczOLgKz/Qzu6IU5IcojioaeCIcGvUQtHbEUhqaoDJtUlsNgu4klGm1JgwXliuigcCgltCk7oDIENCFYKMoDKSorIRaDJ1uEsEB9WIjHIdJtUl1joNYtpHH1AqyNT7D1uy3s6dSpqtMoCytYWIWUaiSHTPbPPZFSU7GmZuLsnwCVVQs57NUI+HTKfBbdUYgrCGsKCyFg2FacQR02f3ULZ/0uQPLQYaK7ttD3tV9hpRTELDo2RrBKhO4uYcUsneh+Ey+KQFDoGLTVu4bFBbpglgYzCmHaKhYfGj8raXzPI3jFZM97H8fqGEAX+2zfqmpefD6GIkJKs8ASOpySH7NRRATaFHiHFCvLUqz7j7M5eOtejKYAs7/+B8Tj5aSf/gzLTOELHFn825GSzkxaFrPo0exahilsZSgSsSBaWCKmYukcHKJncCtNHe3smtXE8r4WtMMK5s5DDh2E/TH23z/EwX6NFgV+UawoTfFYn4GgOBQHrwZnNCRQcXjw81vRPMLZl5ew484BDnbp7Lutm9ofHfn9vVDFcCOwmtHF7FcDzxyxFC7wwuPg8cKq0+y/z3kd3P1r+ON1thXR6xv/fBcXFxcXlzwcPHgQEWHevHl4PJ4pSWnuAkopkskkbW1tHDx4kDlz5kx80nHMqW98Gf/8xH/SuR/2Lihj3s9ux/djiInGYFyn0uPEbHmE7YfsxB6VlqI8bBEoEVKH42jtMcQjRDcPYLZEKQkr5gcShGZ5GTqYIB4FQ1cMdoDo0OkoJ329QkhTzDMU+1IafhQLUJR4FWWBJFVV0NevsXXIIGnBGYuFnbugfo7G7v0WB19UlCysoecXT/HCjQfoP5yirl7jlAv8tC05mbK5AwR2H2BL0yLqZr2FqJXCGCfpTC6HS8qYX9ZLfVmM9qjGEFBh2ePR22PhQYihSDUP8uLVLxB96EwQEAHl0dHaYtSdEuTJJ2zlLTRoEgUMhOplHnZtiQOK+rXrCpLHKguNsBYCJCLx8c/pf4FUPEZifz+6B4bi9tgfuLudziEPPsOiP6XTj0Jzauh1AX4dzl4E9YkYh0+ehbFiLgNffISaqy/C8Nkxb4GSo1fIfiL0hkq8e9vRNFu5TTruutGEQktNfSl2y7IYim+lSR+CSJSYDEJfCi2W5ND8RupD3UQf72HbfiEhdrzrCTVJVMxWWj3YLsFn1MUprzbYfMigryPF+tVgmBZ1lSYHu3SIJVBHnntm7BhDETkp/cDegbpGRD4jIuc6j89g+7R//8hEcAHgxY2w8ATwOAqgCLz5P+wkNPf+dmZlc3FxcXE5bhkaGqKpqQmv1+sqhVOIiOD1emlqamJoIje9lwDVDVV0zZ1P8rFNhP/fZ+iq8rP5kg3sPuxlz0EPG2/p4+nnhOc2C4ctoUyg2q8IaSZev6DvjUFvjNSaGlIHIiBQc04ZukeIdafweKCsSgiXCxWLfXgMRXPCwI/Ci2LDpTW85hVeLvvGmaz1WlT6LcqDSUp8Jn29wu4hjZ6YsKzMouqVc0DBnDc0oevw0A1t/P3Sv/L413ehEoozVsPJV59M+OLZ6Jf/OwcOd5JAMf/CLzArXMf8sqaixiZRNQ9fubBqtqJcsxgEepM6PlH0DCq8wJApJBpDHLqvDUsXRIcBI0BvP4QWB+jfHaPZ1JldpxHpV2jYsW+zzwwylBIMAc+cFQXJYwUDwLArqQISkfHLVXhLUsT22/O4sl4nUKajeTV6ysIYHuhIaQyiSGJba3sQKoFLT9KYHxRSdUFqPvQemq99BKM2wOJPfK2oMTxa6PPmoYbA64XsFD0xE4zUoSm/3t7OTuZW6Tz9rJ38pybZhtWbpD9cQgO74Ok+nttiK4QxZbuQqojO7gEDENbNEc6piVHTaNAaMdjfCkvWeakyEww91UtoVgCvpoh5PGieIw89G89iuBGcXK7D/Heedr8GfnfEkvwrk4jDvq3wqhyv3NVnwMpT4bbr4YI3gS8wM/K5uLi4uBzXFOPm6FIc/ypjOzjYRmhNFf7bN1K/8iIivzqLvWe8HjWkWLjGhzUYp7dPaO1XxIBFhkV5jSAD4AsK5uP70bxC5eAAhxIaNbO9+DRh9sUVmN1JYvtieOs8RA8lMIdStA4JEVMoAQZQ3PF/nWgCvvsewZcSar0KLanRHtc5ENeJWEKt12L9CTrNSR8I1J5fzyl7B+nb2EPFulIqLmjEf38Lff4Q5fU9tLdbVNzyYcqB55Zu4JSqhZMam8CstWjlj2H4NFaUmWzsEQ4rIazbtRMrPTCUhJpYD33Kw1BUMNEwQhZVs3Wan0nQj13+cHaHScQCDwqfptAbwiSsXkIe0JrmFySPFfCNciVNxhNjtk+07sRjWMR2DgDgCwmJwxbR0iAD+2JEUXRiF1UvBxLYpTTm+2DvJpPyMovGL1yEOriX5of2U/2JM/GESic1ltONvmwV/PVJjFIPvj4TO8UPJJWgtbRM+fU6BrtYWAuq28542hCJIArKVvmxnutl+71DdA5CFIggeFBsH9ToBIK6YvlsOPSi8PhOnc5+qKnVWHeigZx6Ntb+fUQe76TSZ6KfvBDd8B6xvOMphoXNPpcjp2UXmCmYn2cn6IqPwZffBPf8Bl71nqm/dmcrPPAn+3n9y2DdBVN/DRcXFxcXF5fjmm0PfI+LZu3kIaW49wd/QP3s15R39rFosaK+Io7VYDDLp7HjgRRawqIWhVcUKUMw/KBsH0/6dnTT19OBdApzai0YMkn1myCQPKEOf0kv/Rt72BUx0LDj9EoEqqt9eP0WA/+fvfMOj6O6+vB7Z/uqd8myZMty7x3bYGNjeu+9hQ6hfUCAJAQINQFCCxB6TWihhd6rDRhcwN24yE22etdq69zvj7uy5b6WdrWSfd/nGe/ulDtnZkfrOXPO+Z1qP1WmoM6r6q8kArcdRiSHGFgItv4JLJrpJanQTQ1FFN+cQeDFXwnN3ojFP5RQxVIyDkzAu7qBtGCI+bmFFB7wR8bnRVZTuD3y+0xDpDyFYRXY81zk1vrZADSGBE0IeqqcRco9FlItJt6QQeHYRIqm25AVXj77dzPLAgIn4JbgC9fwpaRJar+txESQ4jQx8iJrCh9wbY6FtTqI5k4cw6ZfXiUtG3y/VmNYQLiteJv9bKjy4UHSiMBrQAoSl6lacqQhyekPjatN6hoN6q77HABrmpPiG+5o76mMOdZhk4Bnsecmkbi+lnK5ucl9y7Iqop306rA2s7E2SKhctRQ1gibkuJAp6ax6ZTVL16oHKa16osWpJrVN4A9asIfgo5kSiROHTTLiuBwGDQ1iVPrgu1+xCEGT1yA9TZB5x/EY1sjTn3fEDh3DaCpZaXbBumXqtWDAtssGjVORw3efgANPB2cUL9nv3oGnbwK/F9xJqlXGadfDMRdHbx8ajUaj0Wi6PY6+h5Pe6xuE00rTi2+SV1nN4N4+UnMcWAochNa2EHQL1tWb5FjBaQcZkDjcAsNqgMXAPimd8meWUxEQlC4NUdJsYHEI+iWbuHunkNDsITg6n5ZfmtngAxuCFMNk3wsH0DSnhuYFFVhCApfLoC4o8AZApidy7EeXYHvlRSyLKlm7RmIsXEfO4WkkBxJY76mi9vhhiKok+r7zPVgEzeluUjxNLJl2EeNGn93hc5OeUUxZip1kwJVtwbVUkmIatIRdjkDAxCIMav2CQneIYVPdJJstsDHIjG+9/BoQuIVg3yyoqZUQEDiFSU6W5IfvvYAgN01g5EeW4mo6XZucwtaIYcgX3OH6bncZGBZ8q+qxOQSBFhOvCY0SmhHk5BtUlZq4EASQuJCk2E0SgiEan/0/Jh58BqtefwTbgpUYfbNwZnbdNufGkElgSBLz7STMUV5hq1PWtKqJjCjt5+XrHqZhwW8MS2umpKWB1GSJz+XAIQRmcS+8n5SwaJWkORwlDBiSbJtJL1eIDU0WJJKxWSGaPBJ3gmDQICuJv+8D5ZVgq0WOn4DMTqDpuNf5xeKE6//DiZ+cg83VsezCndUY7hfpIEKIRCFE+x+17O2sWapqC3N7bX/5iVdBQw18+lL09vnl6/DYddBnODz0FTzxE0w6El65B379Lnr70Wg0Go2mnZx77rkIIRBCYLVaKSws5NJLL6W2tna3xjjyyCNjaOXewbB+E/FkZpE1IIHU9etw9U0n0QUWQhijMsFrMm+FJIAgF5PUgS6CLSa2XslYp/dDekNUvr6ChkZJuc9CfUhQWRqidGWQnxdKmop6YPiCNCaks7zFDijBmUEuk/yp2fSa7iKv2KA2aGBKMEcPwXr5RSQHTL499F8s3uBk4W+w4DMPuWMSGXB2H1zGj/SsLGdoVTlDj5SILActA7Nxehr5NS2dIVFwClspS01BWgVJThO7RWJFkhsW5GkKgVVCoylwj00msKSeQJKVjz/x8u1qiQM4agAM6BEAi9qmIDnAskYLG+pVzC83y4IlJSkiW8wE9xaOIYC5A8dQ+r3YE0KYfgg0BLE5wOeRlPmUiE6OI0RLbQCrULWeHiAJQVqKSeqj5zH8qAuwJ2eQNKYHPW88gB7n/aXd57AzEA4nllQbLl8jCbbW86P+rVvvp7Yh8t+WHVGysATHPx4l5dvvaPx5BdXfrWT9W0sRllYbfKz5sIZGVE1hYUIIn2mQ7Qixsh5WBg0CgMMfYkARDBlswV6cgvDV0ZIynVAAKC+jqTTAzxtD/LYugDsrocNOIey8wf3TQogvhBCnCSG2mygshBguhLgHWAHEr2Nld2ftMijoB5YdBHAHjIERk+G9p1T3147y2cvw5B9h+GT447OQXQBWG1zyd+hRDM/crKKIGo1Go9HEmQMPPJCNGzeyevVqnn76ad577z0uu+yyeJu117F+9pvYaSbR5UNISa5owHBZsOQ5qXANotEPMxeFSEOSKcA9oR8AqRePw9IvCzMoqfy4ilCiujueepCT/vYgw8a7qfcIyudXI4GUXrBsjUp7HJxjkJgi8L7xC9af1lPvUllTkycaHH7LRM7657X0/fg2yEhm7etrWbNGkrl/Cn1OS8Cc/gChEffjF1MIMBZ/1jmIW59j/YgkTAH5R0RXHMWf0RvDYeDyB3CkWLACCeFawTqpUkN9CFKOysGSZWf+D83MLVeKmAkIvl8NS9dDnc/AQFIfMvitFOwOVWuYmxd5xphMTqKtzpQETP/2Wxl4ylchBPhmrkZKsLkNNtYbVEiBHZh+rIt1LQZOCYZQ0iOpQpJ9SS4Jo/pQsfw7GipKyOvlpGKDwJGQ2t5T2GlY8tKgthm3TSmstqaSNjSYrP75jQ6PP/+j7wFIef5WDl12N/u9cx7+lhDLFgZAgPlbDUtXq3OZ6zQx85WUqB/Bjx4bAggimO+1EhQ2DASWIifSnYh7yin4jB6YK0p45/9msspvYdgB+ew3JRFpdrzB/c4cw6HAW8AtQI0QYpkQ4ishxEdCiB+FELXALCAfOEBK+e9d7UwIMUUI8a4QolQIIYUQ5261XAghbhVCbBBCtAghvhZCDNlqnTQhxEtCiPrw9JIQInU3j7trsWEl9Oi783VOvBoaa+HjFzu2r49fgGf+AqMPgGsfB3sbXVu7E87/K1SshQ+e7dh+NBqNRqOJAg6Hg9zcXHr27MnBBx/MKaecwqeffgpAKBTi/PPPp6ioCJfLRb9+/bjnnnswwzdIt956Ky+88AIffPDBpsjj119/DUBpaSmnnnoqaWlppKWlccQRR7B8+fJ4HWaXx5XRm1pHCoE65WAE6z1YLLBs6mE4ytfxRYnANCVDHBJnhoXGD5ZiKU7BndSEUb2R+hoIeSV+i0FyqiD16ME4ClyIFc3k5VlY8mkVpY12Zj+yCq8UOO0Cd2OAxIFJWKubkVZB6So/mYUWbBkGvPcagVCIgePyGHN2T3r1ElgvOYr0ey4kx5Qs+fF+bD374DziapxHXY9zykms8MxnWEMDi4rHkJ0zNLrnp+dIjEwbmJLkNIldgC8kyLKZ+BFhiROo/O96ytcF+GytBQswCpg+yYITk1+qbNRLQQOwuMlKWhI0+gQDEgPYe+wgq2x7pKVuett6ox/ybd8xDFSuAsD75ToATAvMWWsigD6FDqo8goAUJABBAXYgf3wiVT0SaW7wYgTXUL/ua6QJaUXdQ6fC0rs3ZpOJK8nAYHONYX2jpHDtTx0ev3zmPAJWGzlj8mho9JM6NIc+hbB+tcnG9SEWPbMBjxTYhSTNKmloCoEh+aFBKZH2MSTDewlW+iwsXxXA5zExBmVBTi6+eQ8zr6Yfb73ZxJoVFQzOEhyzfwsJ5RVIGUPHUEoZlFI+KqUcCEwA/gX8AqwBPgcuAPKllGdIKRdHuL9EYCFwFUqAZ2uuB64FrgDGARXAZ0KItrHzl1FNXg8NT6OBKOZYdjJ+L1RvhLzeO1+v30gYNQ3efxrq2tGAU0p451/w/G0w7iC45tHt90YcMlE5je8/DZ7G3d+PRqPRaDQxYtWqVXz88cfYbDZA9QjLz8/n9ddfZ8mSJdx5553cddddPPfccwBcd911nHzyyZuijhs3bmTSpEl4PB6mTZuG0+nkm2++4YcffiAvL48DDzwQj2fnjcD3VjLttaSOP5aaZQEshqSmyaAlwcWAY65g7berKKkXFAlwSokj2YLZ0ELBoW7Euo2E6r3U1UjcqYLaOpPM3i7q+o8n7/QCAs0hMgcUYrMLZr1dy+KPKpFAzwJ1j5J2xiAsWXaaE514akPUHXg0zYfvT+KaZtbPeBnH6tVkzZpL74v6ccy/7mPI2PNZnJjAwKUzqShfuMn+pqZy0mY+xwarwchDo99KIb/PNCy9VApnZrJKuwRBuqEiUq3SLysXtPBhhQOJYACSdEeI5PVNHDjWYGxeAAeQakiKCy3YHRKrkAwptGJkRN5Cw5KcHE4j3Rw2DOwglTTYVIZZ58G7Wl333682CJqQiqBotJVZPwcQQE/DpM4UJAF9xttpyiqiptJCVr6T3J4GZWt9JKb33P0TFwcsg4YBAmuKA1vrPCSNHkny+nUdHt+cv5i6Xr3pm2/B3xzALK+luBckpQrmftzC8hJ1TeQmS6wuQXmFSW3Yp0tDMiTfyuHX9iQrRTDbY+W3DfDhl9m8cN6v3H/Ye3z5z7coWRlgkCPElIlO5Ig+2I8duunhQ0eIqMG9lHI2qn1Fh5BSfgh8CCCEeL7tMqGaK10N/E1K+WZ43jko5/B04AkhxCCUM7iflPKH8DoXA98JIQZIKZd11MZOpyJ8AeZE8CTojBvgT8fCQ1fBjc9E3r6iuQFeuhO+fgP2PRouvUelju6Ik66GPx6tooYnXRXZPjQajUbTfXjhdli9pHP32XsQnLP79Ucff/wxiYmJhEIhvF5V5nD//fcDYLPZuO222zbvondv5s6dyyuvvML5559PYmIiLpdrU9SxlX//+99IKXnuuec29XZ84oknyM7O5v333+fkk0/uyJHukfz21qvMvWUmSRKS3ZLaJkHV7EbWDp7MFw02Ug0oNMAQYJa1kHZwHs7DR8PsVTT/ugEzBDYn+HyQeUAxVppxhgJYbWCUNTJ+ioPvPvHitwJByHMLHIUJyB42bEMSWf69i4C1nAPuvoFEp5/ge1+T8tF/CHktBBMspFz6OKDah2QceRfGa1dS9u4NZJ7/nrL/vxczLGiy8uAr6elIjPr5Sc8opjzNir9HGgkb67EZQSwhiWmq1FkbEj+Chc02TCSFhiQbQWpSEDMgMZoDtHgNbEBxQpCew9288n4LAxKCpBa6IDkzYlssFgcCiWjjGgY8248myUAN8qdS/M0mAQGVDUpx1AYkJklWl5kkInG5QpjNFnIzLLT0sTHssLvxVJRgtS0FwJ09tgNnr3OxHXga3PcMVocFOwE8qEhZkxeM0mpM02x3GxpPcwtpa1fTdNzhpLgMGoWXDy5+hcb5YHdBbZ2qKTWQJAZNghaTxqCFIGBHMsBmkn/ZKKxrSzhmlMGz35h8vN6Ax77ElpbJ0CMK6D85m9CMesSnCzBOH4dlUDqBQB/slp3c20dIRI5hJ1EE5AKfts6QUrYIIb4FJgFPABOBJuD7NtvNRLV+mQR0P8ewLCz+uiPhmbb07AcX3qlEY66cChl5IASYIRURNENgmuEpBDL8vr4KAn449lI4+RrY1cVeNATGHwIfPguHnQOJqR09So1Go9Fo2sWUKVN48sknaWlp4amnnmLlypVceeWVm5Y//vjjPP3006xZs4aWlhYCgQC9eu38/9Q5c+ZQUlJCUtKWYh4ej4eVK1fG5Di6O2Wv/MKyeonLEIzExJRWypPszNogMYG+UjVldyWAI8tN9h/2hc9mI5taqKzqjWFfSHNIuSlJ+2SRbNtI8IcKjLxM/OvK6HVAFiMfGMsX/zcDA4l9XTPJJ/dh1YYaCpPsrJ5ZS/3YcaRlpwFQP3kYKZ8vQALei07DnbY5opaXP5qf+k9g7LJZ/DrzQUx/M6NqqpndZyTjh8XO6d+YmEJOUS3ODSYOh8TuEXgCSmDE5YBanzpXPZ2CooDEZpGkZggCTdBSEaDW40QAOQVW5s/zIoD+SSGcGVYCadkR22EVdlVjKDenBvpbth8xFMFGQvMrCfgkHqHWtgLuJMHMT1oIAoXWEJXCigUYsK+TpulXku9Ox1WYSu3KuXibJXkjh2x3/K6IkV+MJcuOo8aHG0ld2IFuCQDVLSxZt5AhvYa3a+x5n/yMNRQifaKqsQ1UlLPsuzJSXNDoNWkG6oEMIbEYkkqvoDVHocBikmaHtJZKWOOBrFSOHFhN2ZogyWcdz76P34tc/BRYV7DolaWEkh1kjEwDw87izEmM7Pip6VKOYeujvPKt5pej6hhb16mUUm6KlUoppRCios32WyCEuAi4CKCwsDCqBkeF8t1wDAEmHwtp2fDFq+BtVo6fYQlPAoRFOX6GASL8mpACU0+E3tvpk7gjTroKfv4U/veEilRqNBqNZs+hHZG7eOF2u+nbV9XhP/zww0ybNo3bb7+dW2+9lddee42rr76a++67j0mTJpGcnMyjjz7K22+/vdMxTdNk5MiRvPrqq9ssS09Pj8lxdHdSBo5l4KxvWG3Aj80W3MDC9dAjVTDKYdJcCVabxGaGkBfvi3VxCTS10HTYwfhf/5CEvk42lgaxWiT2IcVYZ3xDoLYF/9GnwyNPUbkxAb+jnhCQ7jYQwQCp0/Kwla1kznI3zuYyMs4+ZpM9SafeivzmFPz9C0k96s/b2Dvm0LtYueZQes1+G4eULElIYMxR98f0HIX6TCC77mMq05JIz6mjaTW0SEGa3WStT1Wz2REMswdp8VvIH2ohOdOCP2ChfkkDTT7VusCeYrBkiaS3K0TSoGKEUYPIzInYDoth30aV1O/Zfo2hJVhPsMJLwKdUU0EiAFeGwW+rQ4Ak3WYyr9lKqgB5QDYDhp0EgDAM3D1OIjEKjdU7G/uIgQQ+nU+ixQrhU+M1AQnBBV9BOx3DVV/+hBvI26+Iino/DXNUOvMBAyRGmY9llTZWhCxUS8Esj6DZFASROAQUWyA9WyDml2NaBfaGZpqOOICcV78hOGum2sHA82n673kYS6rIOGcANHvwp6XS7CkBOt4gois5hjFBSvkk8CTA2LFjO558G23K1yrHbXeickMnqSmWFAyAfY9RYjWHnQvpkf8gaTQajUYTK2655RYOO+wwLrroImbMmME+++zD5Zdfvmn51hE/u91OKLTlTfHo0aN55ZVXyMzMJDU1tTPM7vasW7qGFCSjg0qKvgJJHjDKbdBSqZ5N9zs/k6SD++LNSkG+Mx9zSD/sickEK2oR+/ah9rd1pCVIGpYGcM8sw5ucRNb4HBqSDZqX+Vn000okkGaaJO6TDXluskph4yyTkDuRI393+CZ7vCm9SXzkThY1ZrPPdjKhLFY71kP+ROL/bqXREOSc8DCWGDswYw64iZ/qyxi1YRYJ5YL6SpPGJgN3OF25l11S6ReUNSllT4fPT+1aicUqCKY4MMsEFqvJe6vsIAIMSgzgnjIFVr+DyI28N6DNoiKGbYRJCfq2n0pqaWwg0AJIqPMLHKjaxMo1ATwIEhEsalGO5vBRTlwTfrfF9t1BhXR72KYdgfH5AtxWiRFS7rBPSqSU5JQvbfe4jT/PJ5CazvShaZj1VVTMLQHAbZo0+qExZJCOJNEiWSUNkKreMMcmEEI5hiG3hXXphfSoWk76iWfRsq4J96czaCwpIamoiN+eLcdtN8g4qRiRdyYrmueTQWlUzkv7EmhjQ1n4dWsPJKfNsjIgS4jNIrzh99lt1ulelK2JPFrY2Zx0lUpJfeuReFui0Wg0Gg0AU6dOZfDgwdxxxx3079+fuXPn8tFHH7F8+XJuv/12vvnmmy3W7927NwsXLmTZsmVUVVURCAQ444wzyMnJ4ZhjjuGbb76hpKSEb7/9lmuvvVYrk+6A0aeMJ9MdJDsxyPHDTPZNE/RKt+Crk5ghQVK+lbThCVh7ZZH46zKE1UJZ331oeU/1RrYXpFFfL0lPhJS33iW0rI7VY/YjNP8rkns7qCzZSH2pSqpLEyGyz+5Peb2fUEBiXbCBlqn74XBuFs1bVVWGpWcPklIKdmhzUd8DWT71AhqP/iuZWQNie4LCjD/uEebsNwFLspWcYouq1fPBMYUBRrgDANSYArfdpLkiiLcmRFN5kLXrTHzA2qAgUBfggJ6SxEQHNrcVicA6PHIVVZvh3OQUbooYtmw/YmitbcTfYiIl1HoFNlTD90Zp4EeQaA3hBaafn8eQPxeTO+ro9p2YLob1wNPAIkl1SsLtBTER+BGklq9v97iuZcswh/Yn1W2QKJqpWFxFSqLAXx2k3m/gBVItkul/yeG0P+ZiCVeDppkhkkdn4MyzURtw4qsOsCqviEHjJpB//jkYElY/9iQNy1dgn70M35hibPlHIPImYKZMJph6QFTOS1dyDEtQzt1BrTOEEE5gMptrCn9AKZtObLPdRCCBLesOuw9layITnokHOYUw/VT46nVYHanwrEaj0Wg0seXaa6/lmWee4eijj+bkk0/m9NNPZ9y4caxevZprr712i3UvvPBCBg0axNixY8nKymLmzJm43W6+/fZb+vTpw0knncTAgQM555xzqK2tJS0tLU5H1bVJP/QkkpwmNqckMd0go5eNlkaTzP4GNqtJ0elZkJKGbPDBqnIYPZhqZwFNP67FcFoR85ciJWRkCOwrqkBAz4YFpJUvQ/bvQblfIA2BBUl6XgpJE3NorKtlY2UIazBI7tTxW9jjC9bjDUiKs7N2aveQMefSuzg6N82RMuH4f7J4wmDSUiTJLiUCYzMFhX2tWJE0I8juCWm9bMiebtba3Sz32KgDUtKtHJTaQkagBfv+kzE2LiPkzMeSFLlgjtWwIYTcIpU0sIOIoVFWR6BF4glBKNxv0TTAG1a4rA1aGHFUJsNPz6VOZGCxd7yJeldAuJOw9kohySGxhtNnAep8Emt5TbvGXL14Ncn1daTs0w+kxOYvp+K3ZtKsIUJ+SZlHJWoWFUrcoRCVvzSiHhVIRlw6kKJjEgj1TiG5sp6ijaupO/wkDMMgZ/oBtKQk0PLRFyz/650YpqTHTX9F9FYR9GFZgxiaGZ0HHxE7hkKIw4QQ7wshFgshCsLzLhBCRNy0RAiRKIQYKYQYGd53YfhzYbhu8EHgBiHE8UKIocDzKLGZlwGklEuAj1EKpROFEBNRojTvd0tFUjMEVaWQ3YXlfU+6GpLS4LE/gN8Xb2s0Go1Gsxfx/PPP8/77728z//TTT8fn89GrVy+eeeYZamtrqaur45lnnuHmm29m9erVm9bNysri008/pbGxESklU6dOBSAnJ4fnnnuOiooKfD4fJSUlPPvss2RmRq7+uDdR8eyDhExBQgIIu0FqkZ1QACqXBUnPgIQeFsjugZhTgnTaKO89lMTf3qZphQ9X33Sqy5VjIiaF+zb3ycAtvCSIIFX9B1ITMkCapFokuWf0RTR7yKirYkWlauxePHHL+qmspAArKiSOnamsx5G+V96PdVoGRSOsGEg2VBmsWmHgBLwIqkNWFlfZmTvXZF2pSZOAxGSDM18YQtJZg5GpqaRe/wes9Ssxc3bvpt9ucWGwZY1hwGtutwG6qGgk4JXUh5RLYAA+E4KAQJKRarD/dYNZ58/FPfr3HTgjXQ/7uLHYbOBi83mqWh9EVDYRCm5frGdnzP/wBwDy9utLi8eDd81y6jf6SDRNQlZBgylIEFB4dCYYgvVLvISQpFokBf1acCRB/REXA9DocDHqGFXLaRgGTNmHhNJKrJ98R3P/XmRPmrhDOzpCRI6hEOIM4HVgOUo9dHPbD9V7MFLGAvPCkwv4a/h9q9b0PcADwKOo9hh5wMFSyrYN9U4HfgU+CU+/Amfthg1dh7oq5RxmRJ433ukkpcGFd8HapXD/pSpyWLZatdmoLIWqDVBTrnorNlRDYy001aseiL7ttarUaDQajUbT3fC5czGsErvVxMhxklqgbgX9AUjrZcVwGoQCwIYaxIheVNZ7KaxYi6/MR1KBlaoKk+QUge3AURg9Eyg/+kgSH/iKyuFn8tuSCkzALwXpVsg4IZ+WZkF+wKSy3E3QYqHf2M3OUb3HQ1GGoNHbdaNXqWm9WNYzg5zD03HZBA1eQW0jFGWrVM05q6BkdQhc4LNCUMKUS3vhcFsIHXoEhYsXYMGCYXoQRZGnkQI4DOemGsNWhyfoNyHk3XblOh++FkldwMBAboqdeQQYCMb95SDsPXsQGHo5qb1HduSUdDlsh56CzQaJQm5yiKorQuAPUbJk9xvdl82cS8BqY+i0Xlg2/kblTBWzSsZkY7MNE0GWLYRrUAKh4jTWrw/hB3pk2iEnF//oA8k/8BzmTDiIpUefTUJS8qaxe174OwRgC4bIueby7RsQBSIVn7keuFBK+aoQ4oI2839ks1O3S6SUX7NlLezWyyVwa3ja0Tq1wJmR7rNLUxMui+zqwi5jDoAL7oDn/gq/HLV72+b3hQmHwUFnQqp+CqvRaDQaTXckLWE1oUxBqMXE0icZe5oFQS04BEZhIlisiNUbkDYrol8O+fNnsWaFSn9MSPBSVW6S39dJbnYFtlsPxr2+kI0TJxPaUEZjhQtHgpWW5iBFBUkYLjtlpT56A02lIUI5PbaoL1xZWc7oXoI0dxdXkB18KJbqVxky2c6vM/w0+iHdInDZJPUB6OEWtHgkfifk5lkZeHAO4COl31QAgr/Mxg4Yw0fv1m5VKmmrYygBQdAvIdAINvem9XzeJkxPAK8XmkICOypSaDVMfKZBklPg3r8365v89BnaJzrnpAthGT0dm9sg0SIxwgHChnAoKrD4Kxi2e0KP5q+LaOnTk+TvXoFl86j4UdXMplhNFtUqxdmcdBPDZWHlTx6a/Ur0pnDyAMRBx1O9Pp18YPLd22p75Ezej7XZqWC1MviUEztw1DsnUsewH6q+b2uagOTtzNdEQndxDAEOPA2GT4ZV81VPxNYeiZt6JsoteydKU0UMl/ykxGvefxpOvBIO+x100bQPjUaj0Wg028cYeTBB58+YjUGqpk5A/Pd7rAJCEuxZNkjLxPh5Feag3hhVNaSHmihfkYOwOwl6A/i8ksz+SdgsfipeW0fouVdBSpb374OvrIxgS5A8u0n+oTkgJXW1NbQIibG+Bv/QLXvk+UP1ePySPlmR9/aLB4PGnEvTj6/RY5STvIE2Vi0Msvh7HxlB2GgBsyiB3sUuZr1byeHTXQgbNDdCUs/w8a5YiCnsWIfvXo9AYRhYwiGw1khYICDB3wyb/UJql84ioSmEN2DQIpVghwSCVhP8BoNPHE5RSj2zawdT0M6G710ZYRiIHgmkr2rEGlQSNHXhoGpW5W+7NVZzo4eMtSUUTUmAZc1gt1BRBU6LxBsU+KQgwzBJLnYgpWTROxVIIRESio4bjqfJQkbv8Tvdx+CvPsCwxLahRKSjbwD6A2u2mj8F0J1g20tNuGVj+nZbMHY9snu2rx5ywyr4z9/V9PNncPU/u88xazQajUajIf3gc1lzx0MY5V4aK008H9ficgs8XokzQ4DHhJCJMbgYls5hY2IuwUWrsPfMYuPaagDyxqTgX+/H/+wMRGEulj/eQMVfH8GWnYinoolBR08m7VQHNDWTUlvOcuEmuX4NxpB+W9iSkxRgZSUMy+/aXdfsjkR+zSlgdO0qREhSPM5BykA3awO9GD59Eh+e+RgbFjXRq4dBXoaNgMdHnTeLxLATJsqWEkoswmbd/eNs1e9vTdMLBSUEm7dYxz/nU2xNJk0hpYxpIDGB6pCBAPLPGIvVaCYrd/cilt2Jln4DSZ73M1avEglqCAmkwyCxqmK3xvnqqf9ghEwyhyZDgoScVCrWVZNiMSn12BBIMu0hHIWJVC9rYeP6ICGrIBNJ6uT+NBvjSEpK2Ok+EnrEvvQsUvf/SeBhIcS+4c8FQohzUDWB/4qJZXsDNWVgsUFSF0+F6Cg9+sAfnoArHoA1S+GPR8PK+fG2SqPRaDQaTYQEAgGSgko7IPTpArwbfGT2tBAMCbwYsK6SUEYaoaZaZCiEExeh6o0kFcOalQGkC+w9rNTO9bO63kbq30/Dnl1G/byNmNLE5bAw8rl/YKQn4Gk26OULsLFWRQRzRw3cZEdts4eiLINmX9etL2xL6qhTEC4LIt1OS0oO1vs+o98j1+Hbbz8GTs7FsAr2m+LC2hTAbgPSVXTQbPFibV6L7DFw5zvYAa0BvtZWDKEgEPRssY69dBm+JkmzVO6jAEJIGkOC1LwEEnMFpU1OivOL22VDd0BMOwq3WwmfALRIQUCCtaJ2l9uaXi+lhx+B57vvqHrrQ6xOQY/hiQTcKSz6upHq9X4ShaQ+KEgUkOwysWfamP+fKkJImoNQ2DuF6qYhpOXnx/ZAIyQix1BKeQ/wFvAZKtL8FfA48LiU8tHYmbeHU1MOadmb/3r3dPY9Gu58C2xOuP1MWNg9O4xoNBqNRrO3Meur17CYQaQEzyfrMHJcZOWpZfX1CVDbiK9vb4x1q6hPzcZcWgeAPcHL8nJJRQt88XIFKz/cQIXHxjvP1fHfR78lZEBjpYdBh+yDUf41WKyUlqwhCNTWq0hhv32Hb7KjpEqV4aS6Mjrx6NtP8cCjaHa7IDmZhBv/TEbSb6S6DRzWHA56/w2OfvZ4sorsCG8Qb1WAtCGHAhD8ZT6CIKL/8F3sYfsYW6WShkJyG8cwsaoCX4sK9lrDwjOq171gyDEF9E5uYl1oGGIPvk/NPfx4EhLBhRKg8QM1izxQ2UTItx2xnjY0/e9dzF/mU33n30j4ZQU5A+1YQo3MeM/L1w+vwzQh4Ff6sCkWE4fNxLvaQ0mpiUy2YSDJH19M3qARnXGoERHxNy2l/DOQCYwHJgBZUsq/xMqwvYLaMsjYy1Iqe/aD216HzB7wt/Nhwcx4W6TRaDQajWYXhNZWYVgFLX6DQKUf10kDSTRDCAH1y5vBasFlNxHrmxApWTQtqEIkOfn04zr8QF6+jSWfVVO5SqWVNs6YS/NHC5GJVgQw5o4/QO08ZGMzvatqmN+jiMYVNXjtDnoP6b3JjkCoHo9PUpzdtesLWzEMg8W9BkCwmZ9WhPhxpZNZq9wM7tEDZ3IWaYeeg5EUjutVTSUhqzcAoYXzALCOHtO+/YaHbFUmNU0guFkt3lu1EXujB78PmqXAgVJLbQovLzxuPBWplzFx1JHt2n93wZngxpJsxy2UU2QCzaUBmjYGqJj77Xa3MYN+AFq+/AqAqgUrMZr99Ohr5afPDZa9UUJqD5X+2yCV6EyCRWI1JKvntuANCeqbTArtJimHdK3zG2m7imeFEElSSo+UcraU8icpZZMQIkEI8WysjdxjqS6DtG4gPBNt0nPh1lehRxHcdzH8NjfeFmk0Go1Go9kJw487k8VX305DixVHupWU8WkYXpOkNEHdolpkgwlv/IRc2ohzUYDGn8pYJmyUVUky7HDyrb1JTXdQ4pGEgORVK3DWhAg2BenZN5fUYYNB1uBZvJqAgOKDb8FcXkJjfk/Vxw2obm6mR2qQFZVgs1h2bnAXIrXvVACcdb8woXgI+/QZhBDqmCrW/4ywGwQdGYhlbXQeSxYSsiRj9Cps1z6t1s19CUFpBMrA5hrDmu8/goCJzyvxSbHJKfIjcCU7cGQUktMdxBGjQCgjmSSrihhKBB67hZqVXlpm/G+bdb2l8/GfOJKm04cS+uEzADz1fgwDytb4mffGegYfmkZmjoFA4kfgNExcTpOA28qykAMSDUzTpMgp6XnsMZ18tDsn0ojhOWxOv22LCzg7eubsRUgJteV7rwhLYir86QWVSvvgFbrnoUaj0Wg0XZi0jEz83y8kZArS+9kxl28AICXLoL48iCmsMDCNkDuBwPcLKd/gY+2GFhIFDCm2UF10HpNPO4QgUGkIaqSkBSWSMuH2/0M2lyGlibuinkWFg0hL60Pi+nXQtze/rlvN3DVzSHIsoSDdwBdIieu52F169z8UPxLf2jnbLGsuXwyAv2A01vql+L5QUSijejmhtL6bnOLdxWLbXDcoUGqjZnPTpuWBhT8iAxKPf/M2QSAE5I3Mw+buGjVvnUFjYQ8SHZubtC9vUg8dLK98hxkMARAKqH4WTR8/iuGX1LlSkPV+DJug1mshKQNm/xygqNhK33yDtb/6VasRoFYarA8YfL7aTkNFiGaspDqsOHtnY09O6vwD3gk7vdqEEOlCiAzUNZUW/tw6ZQFHAuWdYegeR2sD+L0tlbQtqVlwyT1KhOfTf8fbGo1Go9FoNDvgpVuuY8EDryPcAlsoQPqGSgBSMy34vFB95DSMHjYq+o+jZW0FdSHlmLgk9ByZQd7042lZs440BB5T4gPsdsGFyz+l96nHwuKHkL+V0mzAgINu5bsfZuNu8TDlsHxGFFRTlGkyd42NNVW9GFfUb8eGdkEcjiTWuJykVK/bdmHNWpqFxHnSxZi2DKwv/R8tf7oCq68Meg5u9z6FTbmDqsJNOYb+hvrNNpWvQErwhvv3mYAPCUDhpEJSegxt9767G7WjRuN2SuzhzyWNAkexk+D6epbd9AjlK5ZhNvyP8hW/Ycz4mZaAQepvlZgBSdBhxRcyMCzq3Nk2BFnxbBXNpsQGJBsmXilY7bGSWWhh4mkpeJv8DLB4sY0fFbdj3hG7egxRBVSgrqfFQGWbqQx4GngslgbusdRsVK97YyppWwaOhYHj4POXwwnwGo1Go9Eozj33XIQQnH/++dssu+GGGxBCcOSRXatGZ0/FMX89IDDy7ZjVfiyVLQSTHKSkqVtJc/l6ADIH1NBUbdIgBE4bOO2QvO9EAOoWrSIVSB9ZgAtwOd0kFvUitHEW5roViPJalvQZTbnXwsDmRQCUZhTw67pMEhyjmFA8gl6ZmZ1/8FGgPqOQXi1efL7GLea7Gyopc9ixDeiL5f638Q88DtsGpb9gDB7Z7v1ZnSrqJdrMCzarVNKQ10N6oB4ZMAmEWtcQtAYP88YV4k7pHjWc0SBx6kG4XRJH2DE2gUXlAmemDctLj5HUMhObHcTG70jY2IItGGRVn3EAlHpsSCSNdSEEkrQcC9nDrYQQCASZhmSQO8CUzBYOOKwHi3/xYnU46WkzyTr6iDge9fbZlWM4DZiOuq5OBA5oM+0HFEop74yphXsq3a2HYSw58HQoXwtLZsXbEo1Go9F0MQoKCnj99ddpbt5cHxUMBnnxxRcpLGxf/ZVm99nv/tsB8DmtyKYAoQofMtFOYpJyLDxLygkaFiwuKw1VktqAIBgAZ4rAMf0cAEJV9WAxqHJ5CbkE6Q3NzJ8xi8aPbkGUlPFrbj6jj7iHJm8p5XPXAjBs/0MYUdALezt6+XUlHIVjsSNY/dvHW8zP9HpoSEwDwJKUiOvGWzCveAb/yDOx7T+53fsznErUpzViCOBvVE5pS9l6LAICzSH8crPr6A+v6yzYe5xCgN5Fw3G4DRLDnwWwcJXE1cOGxQhRc8eblDw1i7TFPyFN5Tym1TXTHBSsKAVhhVqfhQSbIH9cAhuWKRfbiiTRgF5pJik2icfiZ/liHz2zkgnZLeQdelB8Dngn7NQxlFJ+I6X8GigC3gl/bp1+kFJu6BQr90S0Y7iZcQeB3QmzPom3JRqNRqPpYgwfPpx+/frx+uuvb5r3wQcf4HQ6mTp16hbrPvfccwwePBin00n//v154IEHMNtko9x///0MHz6chIQE8vPzueCCC6irq9u0/PnnnycxMZEvvviCoUOHkpCQwLRp0ygpKYn1YXZ5ehT1I5RrpbY2BCGJ2RQiwRXEYZNYHdCwvAbDacNblUhVQxBTqh56FXWSSpcd37JlBFpMWlITSfipkuC0YgTgf/hqkuuaKS3qyagzXmVDQzMjCyRLZ6ylKTGZ3F57RmZV4cDDAKgv2azG3tRUTlYIQmk9t1jXPmYUrquvw3A42r0/4bKH6wvlplTSlmal5+CvVllrvjqToNy8TQBwJlgx7Hnt3m93xGlLwJ6TSALqfAGETMkPyyVpB/bC99VCEp99k8Ans2lxudiYlk3zbyUsrXcC0BQUeCSkuWDjRzX4XcrZTrVKbBaJK8uCFLBgsQchBH2DVfj69MRis+/IpLgR6eOXDCBDCLHdhVJKLSu5u9SoPjyk711PZbaLwwUjpsDPn8K5N+85fR2rNsDcr8DbBP1Gq7TZHfwNxR1PI8z+DGorofcgGLbvZq3r7ooZgtWLYcV8aK6H4uHquLrqd6DZjGnC4h9h5Xzw+9o05Ao/+970KjZ/dibAfseo3xPNHsf555/Ps88+y+9+9zuATe9XrVq1aZ2nnnqKm2++mX/+85+MGTOGhQsXcuGFF2Kz2bj88ssB1TrgwQcfpE+fPqxZs4YrrriCK664gpdeemnTOD6fj7vvvptnn30Wp9PJOeecwyWXXMInn+zdDy8XP349osmkstGEZDCDEpLsCH+QpAwLTes8CLuVhY/8xgqv+v8jPQkaPPDKZZdz6qQDaAoK6ryNhOyCw+68iXnfX4F/SRO+84bTc/qTAJTVryY7CeoXridYUBDPQ44qaWlFrLUZOMuXb5pXtu4n+gCOrOjXTAq3cipbxWcAAh7VxzBQU4GUEr9Hhh1DiYkgBKTkJ5Pea5+o29Pl6ZeLbcZK7KY6W3Zg8VpJ/41V2JLsNFX7cWxswJKdzPIqNy3LymmS4E620NQQAgQuX4ikAgtzVisHM12YuF0SHHZCLgsLfmompziHtMq1BCaNj+fR7pBIHcPZqIcNbe+o2jxjoJvfQcaBmjJITgdr13taEBfGHawcw1ULoG/XafTZLoJ+ePUf8MGzINvUTQ7aB35/n+rh2JX46RN46s/QWLt5Xp9hcPn90KNP/OxqL34vfPKSmqpKt1w26Si47B79d9eVKVsNj14Hy+ft/rZfvg63vAL29j9l36t4d+q284pPhiGXQcADHx2+7fIB56qppQo+O3Hb5YMvhb6nQNM6+PKsLZcd/XW7TT399NO57rrrWL58OUlJSXz88cf885//5Oabb960zu23384999zDiScqu4qKirjxxht57LHHNjmGV1999ab1e/fuzT333MMxxxzDCy+8sEn9MRgM8uijjzJgwAAArrvuOs477zyklOzoAfnegFm9nIBPUh2AjXaDvk4DUdQDlq0lMcdKZUmAkrmS5Z+VEDQEwoRp0918JTPgf6uZXfoe9QgMj6T/y9cxeORESoa6qPy5CTN9HMKWQGVjIyMLTOasFiSWltJ4xKHxPuyoUpGaQ3HVBkwziGFYqV2toofpPUZHfV/Cbd+USgrqpt3n9QEQrK2EgMTvlQSkQABqiSC1MAN36p4Rpd0d6kb2x25ZicMED4J+9iCL/Fbe/cTL/j0laSFoqQsRCjTSPKcJu8VEhizk5wpWNSgXSUrJ+lpJU9DAbUjchiDBHSJY7afESMHT5GF4URZUriX3uKPjfcjbJVLHsGirzzZgFPBn4I9RtWhvoaYc0veuUP1OGTlFvS6Y0b0dQ28z/ONSWDATDjgFjroQkjNg5rvw8j3wlxPgppcgv2+8LVV89Dy8cDsUj4A/PAkF/eHnz+Clu+CWU+BPz0FRN1Imm/cVPHsrVK6HwfvAKdfAoPGQmKKO9bX7wZ0IF9wRb0s126NkEdx1ror2XnQ3TDxcRQKlVA9ZNr2y1WcJc7+ER66B95+C4y+P95FookxaWhrHHXcczz77LKmpqUydOnWL+sLKykrWrVvHxRdfzKWXXrppfjAYRMrNz7G//PJL7r77bpYsWUJ9fT2hUAi/309ZWRk9eqiHdg6HY5NTCNCjRw/8fj+1tbWkp6d3wtF2TQp/dxsTPzubGd94+K7WgfBaGe22gsNGYr5k3Twfq75qwGZI/FLgsELuHQdwXI2Lf323gQ3zKwCB49pDOOTUCwHoN8BkwQzJvBXF7DceVlasYlwRNM+rxR4MkDluWHwPOsqI/GGkVG6kdO2PJCTl0XfJDJa7nPQrmBD9nW2KGIpNUZ2QN6BeG2qQAYnfC8Hwcm84/pNe2D3FfTpK7dC+2K0SR8CgATCkYFwh/LwWvl1vYWiiZKAnREUjCAOcdhPDZ8G/KoDhFFi8kg1+C6JaJe6m2CWGkLiyrATKfCz1h0jLtJLSWIPPZSdr30nxPuTtEpFjKKVcs53ZK4QQ9cAtwEdRtWpvoKYMMrRjuInkDOg9GBZ+D8f9Pt7WtI9QEB66Ehb9CJf8Haa2eZp+8JnKQbnjLDXd+Xb860u/f085heMOhise3BxlmXIc9B8Fd5wNd/8O7nwHsrp4P6OgH16+Fz58Fnr2g7/8B4Zs9R/tcb8HTxO89yQMnwzjD4mPrZrtU1kKd58LDif8+UXIa/M8UrR97r0D9jtGRb/fewoOPQfcXas3VJdkZxE8m3vny12ZO1+eWNChCOH2OO+88zjnnHNITEzktttu22JZax3h448/zqRJ27/hWrNmDUcccQQXXnght912GxkZGcydO5fTTjsNv39zMzfrViInrVFCcy9Xzp5/7uWs/MaDCzAskq9/DVGwpIqsnDSSaEICZd+tJ8GQhExBj0I7hs+H2+Gn6LazKb/8OVxW+N29DwNQVb6UXr1hoUWw+I3vGHnCwQzN9zNvrcGad74hWQj2P+uweB5y1MnuOx1++ZTy5V9grJ/HEAmuw25ud6/CnZLo3JRG2uoYBr3qOpdNtcigia9FEpDKefSHaxGzBgyKvi3dAKNPAU47OMJttetNQV5DkPE9DX5ab7C4yYpLmNR5ITXbSnmFJNUN0gNNQbAbkjWmoIfVJBA0cAQlCckmMj2RmnV+Kqt97LNvKu5la/AO7R+b7zwKdNSqEmBkFOzY+6gph/S9L1S/U4ZOgmVzu2+z+3//DeZ9Def9dUunsJWC/nDTi9DSDPddolIe48WGEnj8RuWstnUKW8ntDX96HoIBuPfCrv2dNNTAbWcop/DQs+Hu/23rFLZyyjXQa5ByiL2ezrVTs2O8Hrj3InW9/emFLZ3C3eGYS6ClCb76b3Tt03QJpk+fjt1up6qqimOPPXaLZTk5OfTo0YOVK1fSt2/fbSaA2bNn4/f7eeCBB5g4cSL9+/dnwwatoRcp7qFpCCAhQZDqVCW+C2bWQlYS7lTVHF1K8KeoNuE9pg+GoAPcVg7uN4pcYWLL31xKUTH3CWwuA3NoHtavvmPJhrUkOg3c9lxC3/xAVXE/sgv3LB2G/IIJ1BmQteRLRtZU82vRMAqLpsRkX2bSZsew9WY/0Nq0sLkBGZQE/Op7A5VKagA99p0aE3u6Oi5nBkkpBq13Q40mmEHI9psMzlPCPHMabVQFBEYwSMAUWD2SxIE2vEHYaCqZn41BgQm4kLhdkkBdkIX+BCwGZC+sIOB2UnTXLXE80p0TkWO4VWP7dCFEhhBiKHA3sCy2Ju6B+H3QWBP/iFFXY9i+KvKzdHa8Ldl95n0FHz0Hh5wFB5624/UKBqjavZKFKl0zHpgh+NcfwObYvlPYSo8+cNXDsHZZ/GzdFRXr4JaT1fm88iE49xZ1XDvCaoPf3QrVG1XkUNM1ePU+WLdMfYcdqWstHg79RsFXr+96XU23QwjB/PnzKSkpwbEdtca//vWv3HPPPTzwwAMsW7aMhQsX8uKLL3L33XcD0K9fP0zT5MEHH6SkpIRXXnmFBx98sJOPovuSZQGLBZypTpqCBgXpBkt+89NY1kjpy1UEkdhdFuq8JkLApPufBncx2O2U3nwLUhpYp21uv5BSvgxpt2I5/AhS6mrw/DKH6iYTe7WXjNJ1JBy4XxyPNjYYhsG6pBQKAibrbAYjj7g3ZvsyE5QQV9uq2ECjihiKlkbMgEkwqBxDEzARWARkjOnG5TwdIMWRjTvPjSssoeKRAiFMfC2Q7wlSkCEIIqgCZldJgkhcAsx0C/WAFHBMuF99AEiwSJwJUL7aQ0mjSU9LCGNwDkNmf03WxBikDkeJSCOGVWzZ3L4CmA+MAy6LjWl7MLW6VcV2GTAWLDaVTtqdqK+Cx29QEcEzIii5HXsgHHE+fPYfpVra2XzwjBL2+N0tu45aj5gCR14An7+sVEu7EmuXwV9OVBHDP78EkyJscj1wLOxzGHz4HDTVxdTEmLOhBD79jxJd6a4R0GWz4ZMXVbr1yP07Pt7kY2H9cnV9aPY4kpKSSE5O3u6yCy64gGeffZaXXnqJESNGMHnyZJ588kmKilQEevjw4Tz00EPcf//9DB48mKeffpr77ruvM83v1qRechfpWQbSFyLggwJ7AJ8ffvxnCYGQciycyQbNHklymgVrYhLkTcG/vAb/b0qJveCoAwCVlpvV2IInxc1+l51DyDBInPETKyst/PySqk4afcaelUbair/HEEwk3mmXY3ck7nqDdhJKcm9yCjf1MfSo+KDhaybQZBIKR7kC4eUJSXYsTmfMbOrKZLp74hqQjcuQWJEEEPglpKZLnImCXp4ALiQ5hhmuyYSc4TZ+mOsnhOTgApPe+RayrSYhwG+FMux8Vu3AKSTTjkpk2Edv48zKivOR7pxIHcNpbNncfiowGCiWUv4YG9P2YFp7GKbpVNItcLqheJi6UexOvHA7NDfuPPq2NadcA4UD4YkblGPZWaz7DV57QNUV7huhItap10LvIfDEH6G2Irb2RUpLE/z9fNVS47bXlbO3O5x4hRrjg2diY1+s8TTCo9fCNQfCszfDk3+Em46Hhup4W7Z7+H3qusrIg9P+EJ0xJxymrouZ70ZnPE1cef7553n//fcjXn7aaacxd+5cvF4vtbW1zJgxg1NPPXXT8iuvvJLS0lJaWlr44osvOPnkk5FS0rt3bwDOPfdcmpqattjH1KlTkVKSmbl3inK0UicryeyfjK8mXI/ZFMQpJBuDBsZElfLpaQhgAln91P2NyBhK3SNz8AhVtzl4PxWN2rD4Naz+IHVJKWT1zMIzcjAVb/2E3ZJO7cffUJeRxeBJ3Uj4bDcYeeAtlJ10LwOGnRTT/QQTE4CtUknDjqHV34yvYXMPw9bG9imJe2+7H5ctEcs+vXEY4Ag7y14EPi8UH5qIPcWCA4HXFDgRNAP1WTbqPJJsq6A4Q9LwazNOwEAy32vho+VgN+DYU9MomJaCJaXra4tE5Bhu1dj+Gynld1LKpVLK4K631mxDbbiHYYaOGG7DgLGwckF86+92hwUz4fv34dhLoXDArtdvxeaAK+5XN/jP3hoz87YgGFAppK5EuOD2yPv5We1wxQOqzvDx61WPuXjz0fMqHfT/HmmfwmvBAJhwOHz0wpZtOroD1RvhphNg5nuqpu7hb+CGZ6B8Lfzz/1SRT3fhrX/ChlVw4V1KfTQaJGeotPQfPuxe50Kj6eK4k3qQMqkXIvxfQJXPSmEyVHlh5axGXMkWqsPl6ANPUc547aOP4f+1En9+Gg2paaRlpwEQXKYe3Dj7qweU2cdNwLO6ktrvlpG+eDGhfSd0WXGOjmKzu+lZODHm+wmlJLH1//KBFhUbtIV8+JtNAm0cQ4uAlLyuHc2KNc0Ti3BYJXYggKQFg5BP4rPZaJGCBCRBBHYkEsFXX7RgAQakSvyNQUIhaDIN0oWkOSSwCZje30WfCQ5I6h71shH/1Qkh3EKISUKIY4UQx7edYmngHkl1a3N77Rhuw8CxEAoo57CrE/DBs7dATiEcffHub18wAE68CmZ9BD92grDv/x6HVQvh/NsgZTeffOcXw5l/gl+/g09f2vX6sSTgU2mgY6ZD/w70fjrhCtVe5MPnomdbrGmohjvPUenof35RRdmye8KoqXDWn9WDihn/i7eVkVGyCN59EvY/AUZM3vX6u8O4g6BiLZSuiO64Gs1eTEZOPzKP/z0CsFug2RSMGaeyZCpKvbQIEy+QnG5lwBXnYwaDND7wICTa8fvBLNycJZXeUEvQZSdz0MkEQyHGnD0GLAYrrvs7tlCQficeFJdj3JMwU1K2USUNtCiv3hHy42+GQLj7TwBAQmqfnnGxtatQm5pFUroFJxITQX3QACSVM+qprICiXNW4XgAWJL4QZLkFfRN9YBUEfNBiQrZVsm9CgMPTvPTb3wJIxP7/F+eji4xIxWcOBNYAM4C3gDfaTFr+bXepKQeHW0VuNFvSeqP/25z42hEJ7z8NG0uUmEl7G2ofeQH0GQrP3aJq5WLF6sXw1iOqwfuEdtZtHHQ6jJoG//mbSkmNF/O+VrWBB53RsXEK+sP4Q+HjF6C5IRqWxZZgAO7/PVSVwvVPb6u8euBp0GcYvP6AWrcrEwzAEzdCcrpyaKPNaFXHxJwvoz+2RrMXkz5uf1yJYDElzabA3uQnNc1CM1BeL7ECGRNTIBhkwwEHIjwt2I8/hMZVTWT0U1kBgeplJNS3UJXkQhgGy8o2klOYQtPwQaSXleJ1OJl00tR4HuYegUhN2/R+UyppSxDTNLGFgnhbVHN7s806qQOLO9vMLoXfloCrKBl3+HOdFyx22LAqhCkhNcuCFYEP8IT7P45P8+GwgWm30RBSbmOSVdLTbpLkkDiKXYij70X07pp9C7cm0ojhQ8AHQE8ppbHVZImhfXsmNWUqjTTSVL69iaQ0lRrY1ZVJK9bBW48qEZOOCGZYrHDJPdDUoGoVY0HQD49dp87tebe2fxwh4OK/qQcaj1yjInfx4Nu3IDVLpQt2lON/r2oNP36h42PFmlfvg6U/w0V3waBx2y43DDjpKqhcD9++3fn27Q7vPaUeVpz3V0hMif746bmqLnaudgw1mmhRP38mdf+7lsREG0jwmYLqkhaMhhAABf1cOIA8GaJ038nIFSuxTt6PysMvwgyYFPQ3kC1V+Gb9FREyacxXEo6Nviq8AYnj0APVfkaOxOFs58NWzSasSSqVVLWtVwS8IULNDRghidcj8QOh8DIBZIweFg9TuwzCcJMwuohEoXJsAwgCiVZqvBaSEiWl6yU2VGsPE3AKyeoGA4vTSstGP40J6rpNskhsVhN7TyfW0x9B9Oq6KqRbE6lj2Bu4XUqpG/5Eg5oyLTyzMwaMURHDrlDLtiP+fbcSuDg7CtGOwgFw3GVKLGP25x0fb2veeVwpNF54JySmdmys1Ey4+O+wZgm8dn9UzNstvB745VuYeIRyqjtK78Ew5kCVTupp7Ph4sWL+DBWhPvhM1ch9R4ycqlo2vPMYhLpoCfiGVfDmP1WN5/hDYrefMQfAb3O7Xw2pRtNF8a/5nOTUSuzeQDhWAotr7diCcNTv8hEY2A2BmF0LG8uwH3Ukea+9QsnspQAUDLNjzv8LrjUVlDut9Jt6C1Ka9M4IsGQjHHDJidSlZ1J8/gnxPMw9BsPdqi4q2vQxDOGt2AAmBPzgbxMxFEDmPmM639AuhMOagnviMJINlS4aRLK2xoLfFCQbIWprTWxITEOSYZcUu0OsbrbQ0GhiuAzq/KqHZ5JVYnMZWKcegQg/AOkuROoYzgR2Q1lDs1NqdXP7nTJwrErtK10eb0u2z4pf4adP4OiLlJpiNDj2EqVS+sxfoKk+OmMClK6Etx9TCqRjpkdnzDEHwIGnK0dlwczojBkpS2apCOioadEb8/jfQ3M9fPrv6I0ZTVqa4Mk/qf5+Z/5p5+sKoYSQKtap2tWuyCv3gs2uek7GktEHgDRV6rEGqYV4Ysbecm7F8LMp+86FwxfEAPKyBBV+g4REyJyeR/XyZpISbTTXmfgPySPrX/8EoPLXZUgBaYPTEHXNCI+P6n3OxDCsLN6wgdwUg2AohezCbM6vnskhF0aomK3ZKTaXGxGOfFnCvfkCLSb+6jJC/hCmubmHIYDTLnDldQ+BlFjRN20sFX0zcFjAjjo3VXUAkmCzoAVBrUXSbBqMdAcotIcImoK5ZQaOyTk0VPtwCkmiG3q8eB+Zf38wnofTLiJ1DB8H7hNCXCCE2EcIMbrtFEsD9zhMU0n+p3d9ydq4MSDcemBpF60z/ORFlU55+O+iN6bVDpf8Deqr4bV/RG/cNx9WTd2jEdlsy1l/gh7FKkU1mo7srvj1W7A7YeB2UinbS/FwlQ78wbNKjKar8cq9UL1BpfFGUss65kD13fzvia6nyrlmKfz8qaqtTY2x9H/RUJVyrNNJsdlstLS0xNuMPZaWlhZsNlu8zYg5fk8jzTNWk5zrwjDAYrcgEQhMqlaoFh8pQR8eYaNoqIPZb1wEgHfpCpozM7DIAJ4lq1mS4GbwaPX/pz9URm2zybCeveN1WHssVvfmPoabIoa+EIGaCrw1JiA2OYYCSWKyTt912RLpPeJcrHYDJ5LWghnTAh7ToAaoDhlMm2ynuJeFNKukrytIidfKF1800yQFCRaJO9nAMi6GGTExJFLH8A1gIPAk8AMwu830c2xM20NpqFYpXjpiuGOyCyAtG5Z1QcfQ0wizPoZ9j4q+eFCfYXDAKfDVfzf3uuwIG0rghw/g0LN3X4V0Vzhcqt1GXVV0Hdld8cu3SnSlvWI/O+L4y6GxBj57ObrjdpTFs1Qk89BzVYp1JBiGimavWaIc6a7EF6+qaOEhZ8V+X4YBo6epcxD0x35/XZjs7GxKS0vxeDx7TXSrM5BS4vF4KC0tJTt7z4+02Jcsp2nmCjJGpZOWYVBXGsRmQGWz4MfX14IDUi1Bgj6TWUn5jF23nJ8//jO2NetoLihi9kof7pDEMfUKDMNgXU0tI3rCsjIHzr3Ase5sbDbnJsewVQwk6JeE6qvw1IWQUkUMQyhnICkzPS52djUcdjf+rCTcgA+BFWgJQSmSOqBvcoixo+yIpgDpvxvLyDzBvlPdlJX58UhBisvAUZSCcCfF90DaSaRFOkUxtWJvoqa1VYV2DHeIENB/jBLa6GrM+0r1WJx8bGzGP+pCdfP8wTMqKtcRPn8ZDCscFsXIZluKhiqn8+MXVMuBviNis59WytZA2Wq1z2jTf7QSs2mt43N0gSa/vhal3JldCKdcs3vb7ne0Uid994mOiSNFE78XZryjBJs6WusaKaMPgC9fhyU/R0esqJuSnJwMwIYNGwgEurhibTfDZrORk5Oz6RzvyXh/Wohw2MhIaCa9KJHqygaKJ6Sz9PsaPIs95LmCOMYNgC9X4U8+j4XiIUb++g1rKyvJHeph2Go7v6ZlMGrgkQBsqFtNTjL0zdG3mLHAZtn8ALU1ChQKKMcw1GAiUdFCJT4jSCnUmWytBIr7kLjmFzAFdUgaEXilwI1kjDNIy6+NiCQ7qWf1IeUAO86311I/s5EVQYOCNIHo2X37QUbkGEop18TakL2GTY6h7mG4UwaOVTVSVRsgs0e8rdnMvK8hKR36xaiYOKcQJh4OX70OJ10NTvcuN9kufp9S7xx3UGxT9k66WvVgfOYvcOfbSpAnVrRGv2Ll6Jx4FdxyslKbPe262Oxjd3j9AdW0/i//3v3rwGqHI86Hl+6E5fNid73uDr9+qyLu+3eisMTQfVWEcu5Xe7VjCMo53Bucl66OEMIB3AecBriAL4DLpJTrd7HdZcAfgDxgEXC1lPK7Nsu/Brb+cXxNSnlqtGzv+bdbEAU2bD+/TsL+wzHmfs+oq8ZQtvhT6uoEWY4QgWvPwzLrdhY//gbnfPgSXz16A5iVtBSk8luyjbzDbgWg3uNhWM8Qv64zGFfUPSMrXR2r4djkELa+BoMSmmrwN0tMUzmFIZQzkFyYHxc7uyKOAX1J/moeAJUIkp3g8MIgZxDTL2he5YOT+iEcdkKNjZS+UUWGRZJ39AgKls1B9uod3wPoADtMJQ03r7e1eb/DKZoGCSGShBAPCiHWCCFahBDfCyHGtVkuhBC3CiE2hJd/LYQYEk0bYkpriqB2DHdOaw1ZV2pbYYbUze3IKbF1gA46U91A//BB+8f46WPV62961O4Jto87SUU2SxbB56/Gdl+/fqsc59zesRl/wBjltLz/FKxbFpt9RMraZUop9cDTYMjE9o0x/RRISFFRw67AnC8gIRkGje+8fTrdMHQSzP2i69Rblq5U7V4uHg9XTlUR965iW7SZPwPuvRgu3gfOHwU3HAnP3QrLf9lzj3nXPAicgHIMJwPJwPtCiB3+pyKEOAXVNuwuYBTwPfCREKJwq1WfQzmOrdPF0TS8ZONyMld8Col2eg+r4uRHCnAM78OA/fqT4wiRtc8gzIFD6HXuFNJnzKCu3EtzcDIAWef8nbxTXiUtaygAizeW4LYLMhILommipg12i3NTnwoD9TYUkojmOgItkoAJZngFAST12fpy2ntJHj6YDAsckBzg1CwP55ySyJA8Qa/EINZkC15hw2Y3qf3Xt6z5ewnBphCMLaDwgP4AiMFj43wE7WdnNYZvAGlt3u9oinaD+6eBQ4BzgGHAp8DnQojWRxnXA9cCVwDjgArgMyFE93jkVFOmnIqUjHhb0rXpNVDV8C39Kd6WbGbFr0r6PpqKmNtj4Fjo2Q8+f6X9Y3zxqnKi2utU7A4Tj1B1f6/9AxpqYrOPgA8W/QAjYpwWecaN4E6Gf90Q3ybxr9yrnKhTOxC5dCaoWr6fP4PSFdGzrT2YISUCM2J/JYbUmYw6QEVeN6zs3P1ujxnvwh+PVk7yiP1VNsTzt8GLd8bbsujibYaHroS7zoFV89Vv5n7HQHKGqqH+ywlw80mqhnYvQgiRApwP/EFK+ZmUci5wFjAcOHAnm14DPC+lfEpKuURKeQWwEbh0q/U8UsqyNlNUlcFafvoca20dZkESi7ImUDlkCi0ygSF3/Z19JhTS58kncNncFF9+MNZQiE9ue5rq+csIGQaenCDZyb+B/JUlG39mYK6HBaUmfbK6b8pdV8e2RcRQPYgxQ2B4Gwj6JT4ptuhhmDKgTzzM7JJkjRuJENAjGdw2CG7wMn6oIMEmSTwkC0+NSfkjq1n/zHrqFnsxHBYGvPYAYuUysBjYJhwe70NoNztMJZVSGtt7H0uEEC7Uk7QTpJRfh2ffKoQ4CrhUCPEX4Grgb1LKN8PbnINyDk8Hdv5ovG4ZvDt1y3nFJ8OQyyDggY+280UOOFdNLVXw2YnbLh98KfQ9BZrWwZfbEVQYfi30Pkrt+9uLoW4ljGmA98OtA0bfBD0PhKpf4Purt91+/F2QOwnKvoeftlNzNulByBwJ6z+HuXdsu3zKE5A6AFa/B/O3IxJywEuQWAArXoPF/9p2+UFvgCsTlj2vpq057EOwuWHRY7Dy9W2XH/21ev31Pljz/pbLrC44PCypP+d2KP1iy+Wj6zdHDGf9Ecp/2HJ5Qk+YHm4xMPNqqP5ly+Up/WH/J9X7by6C+t+2XJ4xEvZ9UL3/4kxo3iqTJ2ci7HO3ev/pCbBuPozaAOV/g3fvg/zpMOYvavmHh0FwK9W/XkfCiPCN/dbXHez82htaBr/UQMlCyM3dvWvP7wXHrzDpXCXA0XrtbU20rr3SL2DgCrAvhVdGQV64XiSa197ch2DQSnC8A+9+rZbH6trb3wcln8E7/4ITr+z8ay/gg/qlcMgtqhbv0xPAW73l9pFee4eeDatvgvcOUO0uWuns3z1PI/RZDOle9bfQmb97jY/CyA3w6RGb28vE43evrhI2roKxaXDWL0pga85tkPsDbLwTXnpViUQ5M+DgN9U2XeF3b3evvexp8M5spUB7kAGZdhA/hvcNHH4+VGbD/x5R18LX6SoLoPWBQbSvva2J7/+5YwAb6oE3AFLKdUKIJcAk4JOtNxBC2MPb3bfVok/D27TlVCHEqUA58BHwVyll1Bq0FtQ7kHYrCw8+nYmjzqf2tyfxeiBj5BB6fq3Uf4eEQsxZW0vOIcOxfPgBNfkFuPrmMnGQwaxVBhKDVLcfiwUEuqYtltjb1BhaBAgJpgSLv4lgAPxyc6sKA0gZOjAudnZFsoYOZKXVQnVuD3pWrsa3pAGR78RwGTR+Vo03sKVblHHaQJJzR1C/fiOW3tm4c7rvtd0pDt9uYEWJJ3m3mt8C7IcSwcllyx/VFuBbtv2B7JoE/KrmRbNrktJg/fLYRaF2l5ZGcLij01h9V6RkqRulL9qRnllfpR7/Ddon6mbtEIdLpUfXVUBLDFo+NNUrUaKETqiRSk5XkZy3H4WV82O/v62pq1SvB5zS8bGSM1TLhvoq9cAgXjTVhb+/1M7ft82uUkrj2ei+qV45hQkpSn04rVXBUqjIfkKSElYKdXNhmFAIvnwVNpbA9U9BVr763ttidyqBp3s/hOye6ntZ+evm637PJhdV0lW11fzy8LLtkYm6L9paqnrrbV4GzgCmAbejHrK/2UF7t6D+uCMw/nA03iyVLudOshMMbZkBYLVY2KdoFJVHHEmooo6UeQtIG1bAvLXp7NNnFBP6jGBg7jiSneMYmt8zmuZptsIqbBjhPoatqaSmBKvfixmCAJsjhhYBiX21CFArFpsNX24GjaYL65BcCIF3rZcWj6B2o0na9AIG3bUPPYa7ycoySfl5EQ1HDie0qhLRJxdhdDX3KnJEpNLVQogcYF8gm60cSinlY1EzSIjvUT+cpwJlqDz8F4AVwO+AmUAvKeXaNts8C+RLKbdpGiKEuAi4CKCwsHDMmjVx1tG55mCVJnjNo/G1ozuwdDbcegpc+y8Yd3B8bQkF4bxRMPUE+N2tnbPPf12vWmM8/oNKC4wEKeGqaarlx00vxda+rfE0wjUHqajM7W+qaGW0uO5Q5eB01jE11cP1h6t05rv/p25mO4s/HQM2J/z1teiMV70R/nCY6m14y8tgi0OvqusOVdGwv/y78/cNSsjn7cfgyZ/UA6fOpGId/PEY9Xdx23+3LyRUulJdb/sfDxfd3bn2RYtQUKWOLp2jnMIRkyPbrnQlPPknWDYbxh8CF97Z+d9RB7npppu4885dpgNPA3oALwI22ebmSwjxJbBcSrlNiFMI0QMoBfaXUn7bZv7NwBlSygHb25kQYjwwCxgTTlndevlu3xvNWv8D40NfsSrlTHraknEEPmDdKisFo7d9iBUKhnipx/4kVVbScO4p/O6523Y5vib6fG3rS3XQgilMlkmVUHr5+Sks+3c1a3wW1iBoAbKSBJc1LI23uV2KLw88GcuCZUxZ/zOl/fsR8JhUNNpxFKUy7K1jWGdNId/qRc4tpeW7Jch5awnVBLFcfgKpF94Tb/N3iRBijpRym2LIiEIfQogzUbV/AqgF2nqTEoiaY4jKt38WWI9yEOcCr6BSKXYbKeWTqP6LjB07Nv7V7jVlkf+HubdTPEw97V86O/6O4erF4PNEt7H6rph+KnzzJsx8L3IRmWVz1I3oiVfF1rbt4U5SNXqPXgtf/zc6ES9QyrTrl8O0k6IzXiQkpqiG8nefC6/+A87+c+fst6FaCflE8/vLyIOL7oIHr4DbzlC9/QwrGAKEEZ6EcuRbP7cus9pUy4eO3KiXrVHfX7Suh/YwZjq89Yiqtzzg5M7br68F7r8MkHDNYztWl80vhkPOho+ehyMvgh7d8Mn9q/+ART/Cpffs3v9x+cVwyyvwwdPw6v2w/Ag1xvD9YmdrlLn66qs588wzd7h80KBBi4CfgAmo6F8m0DZEmgN8t51NQUUXQ+F12pKDeni+I2aHt+uHuo/agvbcGyU31tHoTsa6cga1ifnk5oDFnrLddS1WC9bTToCHHydrRPfRB9zTMLYSnzEBs94PEgK09jCUJCTrTLatcfQvwjJjLvXrNlI9bDzBL+YQMixYnvoH8yxrycicTkNTExn7/0hN/4Owp4zEYc6ioSGV1Hgb3wEizYm7E7gHuE1KGYyhPUgpVwL7CyESgGQp5UYhxGvAKjb/COYAa9tstqsfyK6Bp1EV5esehpFhc0DfkV2jn2GrDZ3pGPYbBYUDVDpppI7ht2+pdNfxcXKk9ztGiea8cq96+h+NfnW/fK1eR07t+Fi7w4jJKuXto+eUYzFkQuz3ufB7FfUdHuWHRxMOh8sD8J+/wWv37962Selw4zNQPLx9+56rao8YM71920eDPsNU7et373SeYyglPH0TrFkC1z8Nub12vv4xF6veo+8+Dpf8vXNsjBazP4f3noQDT29fOxLDgKMuUu1FHrlGRR6POF89aOoGKVmZmZlkZu60LZBXSukRQsxB3Y8fhEr9RAjRExiEUhrdBimlP7zdQWwp9ncQO08VHYZyQjdGehy7IsOagrfRRq9iiXp2Dzb3jo/7uDsu5h0Bh114dLRM0OwmrY6hRUjCWaUE6gOEpHIKTZTT6E7qxKyYbkLysEE0A4uHHohhSkyLleQ7rmXopKmb1pGJJqWLN5CTX4PV9hMgqKvvAn2QO0CkjmEyShErpk5hW6SUzUCzECINpVJ6PVCCcgAPAn4GEEI4UZLPf+gs29pNbbhEIE23qoiYgWPhf08ohzrSdMpYsOQnVQu0qTaoExACDjgVnv+rEqEpGrrz9f1e+PFD2OeQ+J0rIeC8W+HGo+Hle1SkqqPM+wayem4pntJZnH4DzP9OpfXe84GKisaS+TNUHWXxsOiPvd8xagr6wTTVJE3lwGx6b6oilNb3VRvgn/8H91wIf3uvfdf/nM+hoL/6+4kXQsCU45RTXLFe1bbFmk9eVI7oSVfDqKm7Xj8lUz0A+vTfcPwVnWNjNGiohif/CL2HwDk3dWysoiFw1zvw0l3wwTMqS+P827etU+ymSCnrhRDPAPcIISqAauB+YD7weet6QoilwCNSykfCs+4HXhJC/IQqp7kElZb6eHj9YlR94YeoCONg4B/AvPD6USG73yRgEvXlK2hY/yNWi4fMgTsWLElIcnPGg/8Xrd1r2kHrcxXBps4VeGqDSAmhcI2hBXCnpcbFvq5M72MP5aenX8HSuyfZRx9E8fFH4khK3GIdYTHIHzYNX7OHijVLsYhy3Gndu+1HpI/i/gMcEUtDWhFCHCKEOEwIUSSEOAj4ClgKPBfOyX8QuCHcQ3Eo8DzQRPjpW5emOhzUzNCOYcQM2kfpKy+OY9sK01Qpmp0ZLWxl8rGqvi0SEZrZn6uo9OTjYm7WTuk1CI48H758Db5/f9fr74yAT0XRRk2Nz82h0w2X3afq9J65Oba916RUjuHQfWPbJ9NqV9eU061qKN1JKnU2KS0sVpOpHMD0XOg/WtWLtTTB03/Z/X011cOSn2F0HKOFrex3rLqGvoxxv01QbRhevFNFSY/7feTbHXUhIFSUurvw3F+huRF+f2906lcdLjj/NjjmEpV98MbDHR+za3E18DbwGsppawKOklKG2qwzAJVuCoCU8rXwdjcBv6DE+A6XUrYWBvqB6ShV02XAwyiRvgO3GjcqpOT0pWDMmeSNvAibM3HXG2jihsUAkJu8Qgl46yVBBMHwZ4EgMUe3DdmapLxcps/5hKlvPsPgc07dxilsiyPBTY/Bo8kZdBjpPbt3b85IHcNrgMOEEO8IIW4XQtzcdoqyTSnAIyhn8EVgBnCIlLJVru0e4AHgUVQOfR5wcDQlmWNGTdgxTNOppBEzcJy6iZ3/7a7XjRUbVirlvM5szN1KQrLqEzjjXRU13RlfvqbUNDujd+GuOOValQr71J9VKl17WfKzihp0dhppW/qPVm0rZr4L370du/2UrlC/EV2ttqqgP5xwpYr8zftq97b95Rv1YGdsF3AMs/Jh/KHw2X/UA5RYUbUBHrpCpY7+/h+7lwqZngsTD4ev31DOeFdn1sfwwwdw4hVQsF0NlPYhhOrhOeV4ePNhtZ89BCmlT0p5hZQyQ0rpllIeJaVct9U6Qkp561bzHpNS9pZSOqSUY9oK0Ugp10kp9w+P6ZBS9pVSXiWl7CKS3pp4YVgFBiCl2BQxbGk0CZnQmgIogMTC/O0PoNnriPR/rIuBQ1EtIY4DTmozbafRUPuRUr4upSwO/7jlSSkvb9ukVSpuDS9zhn8MF0bThpjRmkqqawwjx+6AwfvAL3F0DDfVF24j3tQ5TD9VOYUz3t3xOqUrVWRt+mldoybHaoOrHlYRqTvPbn/bhx8/VGmxQ+Ps7B53mXow8MwtsKEkNvuYP0O9DutijiHAEb9Tqbz//pty9CJl9meQkgHFI2Jn2+5w9EXQ3KDq4WJBXZW63v0+pabcntTjQ85WTuG3MXwIEQ0aa+GZv0CfoXD0dvoFdhQh4II7VJ35Y9d17AGTRrOXYhgqVVTKNqmkHggiaI22CCCpuDg+Bmq6HJHeQf4FuFZKmS2lHCqlHNZmaqciwV5IdZkS4+hM6fs9gRFTVI+vsji1Glk6W7VKyNmFeESs6DdK1e+8/7SShN8en/0HLLbOVVzcFZk9VHsCuxNuOQXee2r3nIpgAH76RKXjxftvxrDA5fcrldx/XqXq9KLN/O+UQEpXrC2z2lWtXOkK+P6DyLYJ+FTEcMyBXeNhBSgBnSnHqbrl5b9Ed2xPo1KxrSmDG5+F/L7tG6ffSGXnJy/FNnW5o/z3IZUqfPHfY9fb1e5QDnZCCtx7kXK8o0nVBuWAd+XzrNF0AMOiIoZm24ihT2JKQSjcYEAAqcN2oWGg2WuI9H9rC7CTcIUmImrLVaqQZvcYsb96nb8jNe8Ys3Q2DBgbPwEEIeD43yvn+Ift3JQ31KjUs4mHKwGLrkRekRItGbW/UsT8y0mw7rfItv31O9UYfWKnlDfvmow8uPhu1U7ilfuiO3bAp+rSuloaaVv2OQwKB8IbD+34AUVbFv6gIt3xbjWzNWf/RX2XD/we6qPkaISC8NCV6tq+5jEY0K7uSps55GyVwr4garoh0aW5QaWuTz0Reu1YfCQqpGXDdY+r37l/XKKisdHixTuUcmxrNo9Gs4ch7AYWAZLNjmHAhEBYlRTCjuFoHePRKCJ1DJ9DKV5pOkJNmU4jbQ95vSG7EOZ80fn7rtoAVaXxSyNtZexBqnXFGw9te2P0/tOqDu/YS+Nj265ITIVr/gVXPggVa1Wz7zf/qVRUd8anL6mbwpFTOsPKyBh3sGph8cEzKhoWLZbNUecj2m0qoolhwElXqQcU372z6/Vnf9Y10oC3JjFFOW+NtfDwVZE5uTtDSiXA8uu3SjRlRBSu14mHqxTcT17s+FixYNZHKmoeaRudjtJnmBKBWj4PnrhRCYJ1lB8+UBkJx1+uH9hq9lgsDmPTjf4mxzCcRhpCRRMdNrCnJMfHQE2XI1LH0A1cI4SYKYT4lxDi4bZTLA3co9COYfsQAvY5VNXQNXRyLf2y2eo1HoqkbTEMOOOPKp327Uc2zy9dqRQM9z0aevaLn327QgiYdBTc9zGMPRD++yBcPR2++q+Klm3NmiXqRvvA01UaY1fizD8qQZZ//SF6qW3zZ6h0vMH7RGe8WDH2IHWT/sbD2//eWjFDSiV35P7RUaqMNkVD4ILbVUP2V+7t2FgfPKP6Dx59cfQcJZtDtaqZ+yWUr931+p3N3C9VC5k+MWirsiMmHKZErWa+C49fr1LN28vGEqUy3GdYWAlWo9kzMVw2LCinsPWGPyiVjO2mHoYJXSTVX9MliPRqGITqh+MHBqIap7ZOOjE5EoJ+qK+G9Lx4W9I92fco9WS/s9Xpls5WAiqFUVTcay8jJiuVvnf+pRyqmjJ48HKwu5Sz0h1IyYSr/wk3v6yigU/cCL/fT/UtW/i9qlnytajWCElpcMhZ8bZ4W+xOuPIh8DSpG9Ro1CfNn6HUT11dXPpdCHVzXlUKX76+4/UWzFRpml0lDXh77H+Civ6+/7QSOWoPsz5WKdITDlcqmtHkoNNVbeun/47uuB3FDKm052GTOj+9/rjL4OT/U3WBt54KK37defSwtUenGVKOZNCvtrnrXBCGymKIVX2kRtMFMJzWbW70A1JFDUMoh9GdFMP2SJpuR0S/iFLKabE2ZI+ntlK96ohh++g1CHoUq6fFB53eeftdNluJv3SVm4cLbofqDcqhAhVZuP4pJY7TnRi8D9zxlnIgPn0JPn5BRV7acuVDKg21K1LQXznjz92qbD/s3PaP1VANqxfBKddEy7rYMnw/pdD69qOqxszh2nadb95SgiGju/h/HWf/WdWM/usGyMyHvruhnrr8F3jkGqWaedm90RfYSc+F8YfA1/9Vwj9Od3THby8li5TQztBJ8dn/8ZdDbm+liHrT8Up0yzCUEyglSHPz645Iy4Ebn1HjaDR7MnZb2DGUWMLJpH6pWlWYKCcgIcUWN/M0XY8ucre7F1CzUb3qHobtQwjV7P21f6jUqpzC2O+zqV6JSUw4PPb7ihS7E/70gmocX7EOJh2pBF66I0IoJ2P4fkqef8nPsHGVOu9DJ8GQCfG2cOccfKZKd33576p3ZHujyq0CI125vrAtrVHDW0+Bj1+EY7ZqVdDcAD9/qpzGrphG2harXale3nwy/O08uPXVyFKyN5TAPReo3/M/PBE71dxDz1a1cDPeUWnVXYFlc9TrwDj0dW1l0pEwair8+JFKC5VSXZfCUCEQYbT5LNpMhnpgMelIVWuq0ezhSIcFIcBo067CJwWtRRACSMzoIg+dNF0C7RhGiwUzdy5GUR5utZChU0nbzZTj4PX74Zs3VTpRrPltrrrhGBBn4ZmtsViVk7wn4UoMR5e6eISpLUIoldLrj1AiJnf9T8nr7y7zZ6jIaNGQqJsYMwaOhVHTVNRw36NUa5JWPvuPqj/sLGGSjpKaBX9+AW45WfUg/OPzO3fyqzeqthRCwB+fheSM2NnWf4xqVfPxi6pHabyUkduydpkSxol39osrEaadFF8bNJqujkNFAy0CLOGqhzIpkEAKkgCChGz9kESzGV1xGi1WL4LPX9nxtOB7yO3VOZGuPZWMPNX8+9u3oqNKtyuWzVZpSruTXqbZu0jJhEvvgfXL4d0ndn97KZVjOHSSqifrTvzuVmX/EzduVvZsboAPn1X1sL0Hx9W83SKnUDmHCOUg7kgBuXSlWt5UBzc8E/tovRAqarh+OSz+Mbb7ipS1S1TbEo1G0+WRLiXeZkHS+j+MBJKQJIQ/J+Zlx8M0TRdFO4bR4qiL4IUFO58e/HL79TiayJl6gmohseiH2O9r8SzoM1R/Z5qdM3J/lZr2v3+pVg67w/rfVA+1rty/cEdk94RzblLZEk/8UfUsfOZmaKxTqabdjYIBcPsbkF2gmqk/fBWsnK8eQnkalUjNn45RbUVu/o9qQt8ZTDpSCTF9/ELn7G9nhIKwbrl2DDWabkIoVQma2QzlHNoAOwIrAku4wX1SQUEcLdR0NXbpGAohbEKIe4QQvTrDII1mp4w9CNxJStwiljTVK/W6YfvGdj+aPYMz/6Tq1Z67dfdUSud9rV5H7h8Lq2LPAafAiVepKP65w+H79+Dkqzu3jUE0yewBd7ypBE7mfAl/Pg7OHgLnj4Z/363a1vztPSjqRDFuu1O1rpj9BVSs77z9bo+y1SpNONZN7TUaTVQwU8KOoUW1uE8FbEhCgBHOTE/u0yde5mm6ILusMZRSBoQQlwGPdYI9Gs3OsTtVP7xv3wLPrcpJjAWLf1SqdsO6YSRH0/mk5yjlyBfvUE2z9zk0su3mfa0Ud7tzg+0Tr1TiO798raJo4w6Ot0Udw+ZQNcyH/06llJauVL87I6ZAv5Hxsemg0+G9J5WCbzxb06xZol57DYqfDRqNJmJCLiWM5bCB4VfzbKjec0iBEODurR1DzWYiTSX9BDggloZoNBGz/wkqnev792O3j/kzwJkQvxtBTffjkLPUDfMLtyuV1V3R3KAUHkdNjbVlsWfQODjtD6q9QlcQSIkGianqt+b065XzG8/fgswe6tx+9Tp4PfGzY80yJX7VQ99IajTdAdOlBNHsts2ZLK1tK+oApw0sCamdb5imyxKpY/gFcJcQ4kEhxFlCiOPbTrE0UKPZhr4jlKT8N2/Gbh8LZqh2CVbd30cTIRYrnH+bqhl87R+7Xn/+d6rx9qhupMSqiR+HnaMeJsTygdiuWLsE8ou7fhsSjUYDgAiLz7gcYIRrCpUIjVIkdTkNREJy3OzTdD0idQwfAbKBK4EXgDfaTP+NjWkazQ4QQvVIWz5PqfVFm/XLVa/EEVOiP7Zmz6b/aNXf8JOXlKrtzpj1MSSn66i0JjL6j1EN2Wf+L342rFmqhWc0mm6EcKsehVbb5j6GEmh9tJOUYmAk6XYVms1E5BhKKY2dTN1MY12zRzD5WBWh+fqN6I8962PlfHb3WilNfDjtD5DRQyl1+r3bX8fTqOrXJh7R/dpUaOKDELDfMUotuaas8/ffVKf2q4VnNJrug1upqhuG2OKGPykcPUzJtiISdcRQsxndrkLTPUnJhNEHwHdvQzAQ3bF//FA1tU/TvX007cCZABfdBRtWwfO3bX+dWR8rdcf9julc2zTdm32PUqq38UgnbRWeKdTCMxpNd8FIDgv0GYK2jyDTUCmlOQMTEJZd6lBq9iIicgyF4jIhxCIhhEcI0Sc8/0YhxMmxNVGj2QFTT4L6aqWGGC1W/ArrflO9wzSa9jJ8PzjmUvjyNfji1S2XSQkfPafqZPuOjIt5mm5KXpFSfp35bufve81S9aojhhpNt8ExeAACSUvLlo6hU8DYJBh0aGHcbNN0TSKNGF4F3AQ8yeY0ZYBS4PJoG6XRRMTIKZCaBV9FMZ30kxdVxEdHcjQd5ZT/gxGT4em/bJny/POnsHYZHHnBnqPgqek8JhwGJYs6v6fh2qWQkqF+czUaTbfA2SMHu9tCS7PELlqVSSVCChLTLQhXajzN03RBInUMLwEulFI+BATbzJ8LDIm6VRpNJFisMOV4mPcV1FV2fLw1S2DGu6ppd6z6I2r2HgwL/N9jSt328RvgoSvhq//CMzcrAQ/98EHTHlprn2d/1rn7XauFZzSa7oZV2HDlp+BrAbuhHEMbIBE4c+xIIyG+Bmq6HJE6hr2AhduZHwBc0TNHo9lNpp2kJP8/e7lj43ga1Y17Uioc//uomKbR4HTDjc/A8ZerZvZP3AiGAVc+qFuhaNpHbm8oHKAiz51FKKhS7LVjqNF0K6wWBwmDeyClwNbGMQRwF7iQwh0/4zRdkkgdw1XA6O3MPxxYHD1zNJrdJK9IidB89m/w+9o3hhmCf/6falHxf4+qxtYaTbSw2uHk/4PHf4R7P4QHv1T1hRpNexl3MCz9GeqrOmd/G0sg4Nf1hRpNNyPVkY1rYh8AbOE7fnt4WXJfF1h0xFCzJZE6hvcBjwghzkDVGE4UQtwC3AncGyvjNJqIOOI8aKiBGe3s7/XKvSod9ZybYdD46Nqm0bTidEPBAHDoJAtNBxl3sBIxmvNF5+xvbavwjFYk1Wi6E257EhuGFQESKwInkAgIJEn9Hdox1GxDpH0MnwNuBe4C3MBLwIXAlVLK12JmnUYTCYMnQO/B8P7TKvq3O3zwLLz3lGpKftDpsbFPo9FookmvQZDVs/PSSdcsVTXdPfp0zv40Gk3UGLr/udhsYJqCHqjm9g4nWDJt4MqMt3maLkbEfQyllE9JKXsB2UCulLKnlPKZ2Jmm0USIEHDsZbBhJXz7duTbffMmvHQnjD8Uzr1ZK0RqNJrugRAqarjge1UfHWvWLoX8YrA5Yr8vjUYTVVyuRKypNkJh6UgJJCYLAuYw7BO0CJpmS3arwb0QohiYAIxv7WWo0XQJ9jkUikfA6w+A37vr9T/9D/zrehg6CS6/XylIajQaTXdh3MEQ9Ee3j+uOWLNUN7bXaLoxMi8VuanbnMCR58B+1G0YLi0+o9mSSBvcZwgh3gGWA++Ep+VCiP8JITJiZp1GEylCwJk3Qk0ZvHLfjtcLBeHle+DZm2HMdLj+abDrp+AajaabMWC06iv4U4zTSRtr1e9qrwGx3Y9Go4kZ9uHDt2hC7u2VibDoB+KabYk0Yvg00BeYDDjD0xSgCHgqNqZpNLvJoPFwyFnw0XPbr71Z9xvcdga8+wRMP1UpkGqnUKPRdEcMi4oazvsKfC2x20+r8IyOGGo03Zb0Q45AJZEq7EOK4meMpktjjXC9Q4DpUsof2sybKYS4GPg8+mZpNO3k9BtgxXx46Co47TrlLJathh8/Vg2hXYlw2b0w5fh4W6rRaDQdY5/D4PNX4JdvVDp9LFjTqkiqW1VoNN2VnIMns8aQ+EMAkpz9J8TbJE0XJVLHsBJo3s58D1AdPXM0mg7icMGfnoeHr4SX7to8PzFVtbU46iJITo+XdRqNRhM9Bu8DSenw44excwxXL4aUTEjNis34Go0m5jgzU7HZJbSARUDywFHxNknTRYnUMbwNeFAIcZaUshRACJEP/CO8LCoIISyothhnAnnARuA/wK1SymB4HQHcAlwEpAGzgN9LKRdFyw5NNychGW58DlYtgNpySM9V8u6WSC93jUaj6QZYrDD+YJjxrhLdsjujv4/Vi1U7II1G061xJlqobwGrRWJLK4i3OZouSqR3ylcDvYHVQojS8Lx8wAtkCyGubF1RSjm8A/bcAPweOAdYAAwHXgB8wO3hda4HrgXOBZYBNwOfCSEGSCk7Qbdb0y0QAoo7cilqNBpNN2DC4fDFqyqddPwh0R074IPSFTBqWnTH1Wg0nY4j1waVQRx2iSVRZwBotk+kjuEbMbViM5OA96SU74U/rxZCvAvsA5uihVcDf5NSvhmedw5QAZwOPNFJdmo0Go1GE39a00l/+CD6juG635SSc5GOGGo03R3ngDTsi8rJzBYYxm51q9PsRUTkGEop/xprQ8LMAC4TQgyUUi4VQgwGDgDuDi8vAnKBTZKTUsoWIcS3KKdSO4YajUaj2XuwWGHCYfD1G9DcoFLpo8XqxepVp5JqNN0e+6AcemWsI7mn7l2o2TFd7ZHB34GXgMVCiACwCHhBSvlYeHlu+LV8q+3K2yzbAiHERUKI2UKI2ZWVlbGwWaPRaDSa+DH1RJX2OfO9Xa+7O6xerJScswujO65Go+l0bH3yyB7gxN5Ht+nS7Jiu5hieApyNSgsdHX5/mRDi/PYOKKV8Uko5Vko5NitL51RrNBqNZg+jzzAlsPX169Edt2SRGlennWk03R5rZk+cyRbMFO0YanZMV/u1vxe4T0r5qpRygZTyJeB+4I/h5WXh15yttstps0yj0Wg0mr0HIWDaSbBqIZQsjM6YAZ9yDPuOiM54Go0mrljT1K1zKDWK6eaaPY6u5hi6gdBW80JstrME5QAe1LpQCOEEJgPfd4aBGo1Go9F0OSYfp9I+330yOuOVLIKgH/qPjs54Go0mrhhJGepNYmJ8DdF0adrtGAohbNE0JMx7wI1CiCOEEL2FEMcB1wBvA0gpJfAgcIMQ4nghxFDgeaAJeDkG9mg0Go1G0/VJSIYDT4cfP4KNJR0fb9kc9dp/TMfH0mg0cWdTi4pEHTHU7JiIHEMhxJVCiBPafH4GaBFCLBNCDIiiPVegWmM8BiwB/gE8Bfy5zTr3AA8AjwKzgTzgYN3DUKPRaDR7NUecBzY7vHJvx8f6bS7kFEJqZsfH0mg0cceW2YeQDYz84nibounCRBoxvBKoBBBCTAFORgnE/IJy3qKClLJRSnm1lLKXlNIlpewjpfyTlNLbZh0ppbxVSpknpXRKKfeXUkapqEKj0Wg0mm5KahaccAX89AnM+rj944SCsPhHGDQ+erZpNJq4YkvOwfLMh6Qe+ad4m6LpwkTa4D4fVd8HcBTwXynl60KIBcB3MbFMo9FoNBrN7nHEecoxfOw6JUoz7mD1ujus+EX1RBy5f0xM1Gg08cGW0TveJmi6OJFGDBuA7PD7g4Avwu8DgDPaRmk0Go1Go2kHVjtc9wTkFcH9l8Gtp8LiWbs3xryvwbDAsP1iYqJGo9FouiaROoafAk8JIZ4G+gIfhecPYXMkUaPRaDQaTbxJy4Y73oTzboOKdXDb6fDX01UkMRTc+bamCTPfg8H7KEEbjUaj0ew1ROoY/h6YCWQBJ0opa8LzRwOvxMIwjUaj0Wg07cRqh4PPgIe+hLP+DJXrVATxiv3h5Xtg+TzlBG7NghlQuR6mntj5Nms0Go0mrkRUYyilbEAphm49/5aoW6TRaDQajSY62J2q7vDQs2HeV/DZy/DBM/DuE5CYCsXDofdgSM9VEcK3HoXMHrDPofG2fI9ECOEA7gNOA1yo0pzLpJTrd7LNFOA6YAzQA/idlPL5rdYRwC3ARUAaMAv4vZRyUQwOQ6PR7KFE5BgKIUJAnpSyYqv5GUCFlNISC+M0Go1Go9FEAYsVxh6kpqZ65SQunqWEZhbMBDOk1rM74fqnwOaIq7l7MA8Cx6Acw2rgfuB9IcQYKWVoB9skAguBF8PT9rgeuBY4F1gG3Ax8JoQYoNt5aTSaSIlUlXRHkmYOwB8lWzQajUaj0cSaxBSYfKyaQKWUNtRAcx2kZKpIoibqCCFSgPNREb/PwvPOAtYABwKfbG87KeWHwIfh9Z/fzrgCuBr4m5TyzfC8c4AKVGuxJ6J8KBqNZg9lp46hEOKa8FsJXCKEaGqz2AJMBpbGyDaNRqPRaDSxxjBUI3vdzD7WjAFsKEE/AKSU64QQS4BJ7MAxjIAiIHercVuEEN+Gx9WOoUajiYhdRQxb6woFcAHQNs3BD6wGLom+WRqNRqPRaDR7FLmo+6iqreaXh5d1ZNzWcbYeN397GwghLkLVI1JYWNiBXWs0mj2JnaqSSimLpJRFwDfAiNbP4WmAlPIQKeVuNkjSaDQajUaj2TO46aabEELscALGCCGmxtfKLZFSPimlHCulHJuVlRVvczQaTRchUlXSabE2RKPRaDQajaa7cfXVV3PmmWfucPmgQYMWAT8BE1BlOJlAZZtVcoDvOmBCWZtx1m41btm2q2s0Gs32iVR8BiFEf+BEoBCwt10mpTwvynbFhDlz5lQJIdbEcBeZbJsiomkf+lxGB30eo4M+j9FDn8vooM9jdOiM89hLSukRQswBAsBBwMsAQoiewCDg+w6MX4JyAA8Cfg6P60TpQPxhVxt3wr1RZ7I3/l3sbcesjzc69NrezEjbVRwBvAnMQxVP/wwUo1RJO/KUq1ORUsY0X0IIMVtKOTaW+9hb0OcyOujzGB30eYwe+lxGB30eo0NnnkcpZb0Q4hngHiFEBZvbVcwHPm9j01LgESnlI+HPiUDf8GIDKBRCjARqpJRrpZRSCPEg8Kfwtr8BNwFNhB3QXdi1x+SS7o1/F3vbMevjjS07rTFsw23AX6WUEwEfcBbQG/VD9nVMLNNoNBqNRqPZs7gaeBt4DZiJct6O2qqH4QBUlKCVsagH8/MAF/DX8Pvb2qxzD/AA8CgwG8gDDtY9DDUaze4QaSrpANSPGKg0CLeU0iuEuA34APXES6PRaDQajUazA6SUPpTi+xU7WUds9flrdtxPunUdCdwanjQajaZdRBoxbASc4fcb2ZzSYAXSom1UN+bJeBuwB6HPZXTQ5zE66PMYPfS5jA76PEYHfR73LPbG73NvO2Z9vDFEqIdMu1hJiHeAD6WUTwoh7gFOAF4EjgMqpJQHx9RKjUaj0Wg0Go1Go9HEjEgdwz5AopRyvhDCDfwD2BdV4HyNlHLtTgfQaDQajUaj0Wg0Gk2XJSLHUKPRaDQajUaj0Wg0ey6R1hgihHAKIU4UQtwghEgNzysWQqTHzLpuhBDiMiFEiRDCK4SYI4SYHG+buhNCiFuFEHKrSTfmjQAhxBQhxLtCiNLweTt3q+UifH43CCFahBBfCyGGxMncLksE5/H57VyjP8bJ3C6LEOKPQoifhRANQohKIcR7QoihW62jr8ldEOF51NdkBAghfi+EmB8+lw1CiB/Cbbhal+vrsZsihHAIIf4phKgSQjSHf8N77mKbXf5tdSV29/5SCLF/eD2vEGKVEOKSzrI1GuzO8QohjhdCfBr+HhuFELOEEEd3pr0dpb3+gxBiPyFEUAixMJr2ROQYCiH6AkuBx4E7gVZn8FKURPJejRDiFOAh4C5gFKpR7UdCiMK4Gtb9WIaS2G6dhsXXnG5DIrAQuApo2c7y64FrUSp444AK4DMhRFKnWdg92NV5BNWip+01enjnmNatmAo8BkwCDgCCwOdbPUTU1+SumcquzyPoazIS1gM3AKNRrR++BN4RQgwPL9fXY/flQZTuxWnAZCAZeF8IYdnJNlOJ7G8r7uzu/aUQogj4MLzeKOBu4J9CiBM6x+KO0Y776f1Rf89HhNf/EHg7Uucq3rTXfxBCpKG0Xr6IulFSyl1OwPsoVRwLSqG0T3j+FGBlJGPsyRMwC3hqq3nLgbvjbVt3mVAS2wvjbUd3n1A9sc5t81mglIT/3GaeK/x3fHG87e2q09bnMTzveeD9eNvW3SaUwx1C9WrT12SUzmN4nr4m238+a4CL9fXYfScgBfADZ7SZVwCYwCG7Mc42f1tdZdrd+0vg78DyreY9DfwQ72OJxfHuYIyfgH/E+1hiebzAW8Atsbh3jjSVdBJwn9yyASvAWqBHhGPskQgh7MAY4NOtFn2KOm+ayOkTTuUpEUK8KpTokaZjFAG5tLk+pZQtwLfo67M97CeEqBBC/CaEeEoIkR1vg7oBSajslNrwZ31Nto+tz2Mr+prcDYQQFiHEqShn4Hv09didGQPY2PK7WwcsYfe+ux39bcWVdt5fTtzO+p8AY4UQtuhaGF2ieD+dRBf7LrdHe49XCHEZkAPcEQu7Iq4xRP3xbU0hUB8lW7ormahIavlW88tR/9loImMWcC5wKHAh6tx9L4TIiKdRewCt16C+PjvOx8DZwHRU2tl44EshhCOuVnV9HgJ+AX4If9bXZPvY+jyCviYjRggxTAjRBPhQZTHHSSkXoK/H7kwuKtJXtdX83f3utve31RVoz/1l7g7Wt4bH68p0+H5aCPF7oCfwUnRNiwm7fbxCiGGoSOGZ2wnWRQVrhOt9ClwDnB/+LIUQycBfgQ9iYZhm70JK+VHbz2EBhVXAOcD9cTFKo2mDlPLVNh8XCCHmAGtQtQ1vxceqro0Q4n5gP2C/WP0ntjewo/Oor8ndYhkwEpV+eCLwghBiahzt0ewAIcQdwJ93sdq0KO1L/0btIYTrKO8FTpFSrom3PdEm/MDvNeA6KWVJrPYTqWN4DfCVEOL/27vzWDmrOozj36fEFrW1smiFstxigRbBVKCCyhLRyuKClgaLGimRRCQKYjASo6QhiiwNm7IYElsEE4RiGqosolICpgRaoGzWilChFLBFBEpLC/Lzj3Nu8963996ZuZ2Zd4b7fJKTO+96znvm3Pe873nnnPfvwLY5YRNJd7XHtyht3WItqcVqXGn+OMCjag5RRKyT9BiwZ9Vp6XK9ZXAc6affFKZdPrdCRKyWtAqX0X5JuhiYCXwyIp4sLHKZbMAg+bgFl8mBRcQm4Ik8uVTSVOAM0oB64PLYSS4BrquxztPAwaQnLjsCawrLxgF314qkkf+tigzl+vL5AdZ/ky2frHaaIV9PS5pBGozl6xGxsDXJa7pGj3cnYDIwV9LcPG8EaWDlN4FjIqL8s9SG1fVT0ohYTWppOx/4JbCENIrX/hGxZpBN3/ZyZbMUmFZaNI3Uf8GGQNK2wCTSoAA2dE+RTjCby2fO20Nx+dwqknYExuMyugVJl5JGCTwiIpaXFrtM1qlGPva3vstk/UYAo3B57DgRsTYiltcI60nXXm/Q97vbhXTxPOh31+j/VhWGeH25eID1l0TEG81NYXMN9Xpa0vGkn47Oioj5rUthcw3heJ8ljdY/pRCuIjV4TRlgmyElzGHrRxX6MmlkrJNJJ6RLSaMa7l512rolAHNIww5PAA4ijYT7ivOwrrwbXThJrAfOzp93y8t/QOoLPB3YF7geWA2MqTrtnRQGy8e8bA6pY38PabjzxaRh8J2PffPx8vy/ewSpn0RvGF1Yx2VyK/PRZbKhvDyPdKPXQ7qw+hlp5Mqj83KXxy4NwJW5zH+aNNz/naT+gtsU1lkOfLswXfMc1Smh1vUl6SnZrwvrTwBeIz11nZy32wQcV/WxtOh4Z5IaB04vfZfbV30srTjefrafTZNHJa034aMKn8eT+hZeCBxWdaZ2SgBOBVaSOrYvdd40nH+9FfEmUqvITcA+VaerG0K+IIx+wry8XPnk8RzwOnAXsG/V6e60MFg+koavv530frNNpH5c84Bdq053p4UB8jCA2YV1XCa3Mh9dJhvKy3k5fzbm/PoThdcZuDx2byA99f058CKpQW9h+X+gn/NPzXNUJ4XBri+BRcCi0vqHAw/k9Z8CTqn6GFp1vHm6v+9yUbvT3a7vt7TtbJp8Y6i8435J2pvUgX0S8DDwVeAO0gtE3wLeDcyIiAUD7sTMzMzMzMw6Wq0+hnNILWhfAB4FbiENjz0W2I7U3/CsVibQzMzMzMzMWqvWE8M1wLSIeEjSGNJv8KdGxNK8fBJwb0S8tx2JNTMzMzMzs+ar9cRwB1K/LyLiVVKH1pcKy18CxrQmaWZmZmZmZtYO9byuovxIceBHjGZmZmZmZtZ16nnB/XWSNubP2wJXS1qfp0e1JllmZmZmZmbWLrX6GM6tZycRcVLTUmRmZmZmZmZtNeiNoZlZK0iaBfwiIkZXFP92pJcefzwi/llFGppB0oHA/cCEiFhZY91RwD+A6RGxpA3JMzMbNlyvNYfrtWrV08fQzKxukqJGmAf8FtijwmT+ELilmyvPRkXERuBC4Pyq02Jm1k1cr3Um12vNV08fQzOzRuxU+Pw54OrSvA0RsQHY0NZUZZLeBZwMfL6K+Cv2G2COpA9FxGNVJ8bMrEu4XutcrteayE8MzaypIuL53gD8tzwvIl6WNEvSut5tJM2W9KikEyWtlPSapLmSRko6VdIzkl6UdJGkEYXtRko6X9IqSesl3S/pyBpJPIY0uvJfC/t5h6TLJK2WtDHHd14j8UiaJOlmSS9LWidpsaT98rIRkn6c97tR0iOSji1s25NbnY+TdEeO43FJ00pxHCVpuaTXJd0N7FVaPlbStZL+ndd5UtJ3C9/Nf/Jxn1Ajj8zMLHO95nptuPATQzPrFD3AsaTW2PHATaQW2eeAzwCTgBtIFcBNeZu5wAeBrwCrSJXjQklTI2LZAPEcCiyNvh2sTwO+BMwEVgK7AHsXlg8aj6SdgXty2qaRLhw+CmyTtz8d+D5wCrAE+BrwO0kHRMRDhXh+mtc7FfgRcL2k3SNinaRdgQWklurLgQ8DF5WO7SfAfjkPXwAmAO8rrXMfcPgAeWNmZs3Tg+s112vdJCIcHBwcWhKAGek0s8X8WcC6wvRs0k9wxhbmzQfWACML8xaROvdDqtDeAnYr7XsBcMUgaVoAXFOadxnwZ/KAXKVlNeMhVXz/Kqa1tO6zwNmleYuA6/LnHlJr7zcLy8fneYfk6XOBFcU0kirZAHry9M3Ar2p8J6cBz1RdNhwcHBy6Mbhe27yu67W3YfATQzPrFE9HxMuF6ReAFRGxqTTv/fnz/oCAxyUV9zMK+Msg8bwz76doHnAHsELSH4FbgFsj4q064/kIcE8prQBIeg+wM4Wf+GT3kFpoix4ufF6d//Ye72Tg3si1YLa4tP2VwHxJB+TjWRgRd5XW2UDKAzMzay3Xa67XuopvDM2sU7xRmo4B5vX+jGVEnp7az3qDDQCwFtiuz04jHpDUAxwJfAq4BliW+0IMNZ56lN8XtHn/ERG5wq67L3hE3Cppd+Bo0nH8QdKN0fdds9uTWqzNzKy1XK+5XusqHnzGzLrVg6QWzw9ExBOl8GyN7fYpz4yIVyNifkR8C/gscAQwsc54HgQOkTSyn/2+Qmol/URp0SHA4w0c79+Ag9S3effgfuJbGxHXRsQs4BvAiUrveuq1L/BAA/GamVl7uF5zvVYp3xiaWVeKiBWkYarnSZohaQ9JB0o6U9L0QTa9HZgsaYfeGZK+J+kESZMlTSR1xn8FWFVnPFcAo4EbJE2VNDHvb0pefiFwZp63l6RzSIMFzGngkK8i9dm4RNLekmaQOv1vJukcSV+UtKekycB04MlI73rqdShwWwPxmplZG7hec71WNd8Ymlk3O4k0stoFwHLg98BhpA7z/YqIR0gjmM0szH6VNGrafaRWxynA0RGxvp54cgvrYcBI4E5SS+t3gDfz9peRKtELgEdJI8UdFwOPMNdfup8mVYhHAcuAM4CzSqttJA0YsIzU92MMhfdaSfoYMJY0AIKZmXUe12t9uV5rI/Xt72lm9vYn6SjgUmCfiPhf1elpF0k3Ag9GxLlVp8XMzJrH9ZrrtWbwE0MzG3Yi4jbSO5N2qTot7ZL7YzwMXFx1WszMrLlcr1kz+ImhmZmZmZnZMOcnhmZmZmZmZsOcbwzNzMzMzMyGOd8YmpmZmZmZDXO+MTQzMzMzMxvmfGNoZmZmZmY2zPnG0MzMzMzMbJjzjaGZmZmZmdkw938MIm6Mib7zegAAAABJRU5ErkJggg==",
                        "text/plain": [
                            "<Figure size 1080x360 with 3 Axes>"
                        ]
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Process ecg\n",
                "ecg_signals, info = nk.ecg_process(data[\"ECG\"], sampling_rate=100)\n",
                "\n",
                "nk.ecg_plot(ecg_signals[:3000], info)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": "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",
                        "text/plain": [
                            "<Figure size 1080x360 with 3 Axes>"
                        ]
                    },
                    "metadata": {
                        "needs_background": "light"
                    },
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Process rsp\n",
                "rsp_signals, info = nk.rsp_process(data[\"RSP\"], sampling_rate=100)\n",
                "\n",
                "nk.rsp_plot(rsp_signals[:3000], info)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Extract Features"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Now that we have the processed signals, we can now perform the analysis using [ecg_intervalrelated()](https://neuropsychology.github.io/NeuroKit/functions/ecg.html#ecg-intervalrelated) and [rsp_intervalrelated()](https://neuropsychology.github.io/NeuroKit/functions/rsp.html#rsp-intervalrelated). Simply provide the processed dataframe and these functions will return a dataframe of the features pertaining to the specific signal.\n",
                "\n",
                "These features will be quite different from event-related features (See [Event-related analysis example](https://neuropsychology.github.io/NeuroKit/examples/bio_eventrelated/bio_eventrelated.html)) as these signals were generated over a longer period of time. Hence, apart from the mean signal rate, variability metrices pertaining to heart rate variability (HRV) and respiratory rate variability (RRV) are also extracted here."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>ECG_Rate_Mean</th>\n",
                            "      <th>HRV_MeanNN</th>\n",
                            "      <th>HRV_SDNN</th>\n",
                            "      <th>HRV_SDANN1</th>\n",
                            "      <th>HRV_SDNNI1</th>\n",
                            "      <th>HRV_SDANN2</th>\n",
                            "      <th>HRV_SDNNI2</th>\n",
                            "      <th>HRV_SDANN5</th>\n",
                            "      <th>HRV_SDNNI5</th>\n",
                            "      <th>HRV_RMSSD</th>\n",
                            "      <th>...</th>\n",
                            "      <th>HRV_SampEn</th>\n",
                            "      <th>HRV_ShanEn</th>\n",
                            "      <th>HRV_FuzzyEn</th>\n",
                            "      <th>HRV_MSEn</th>\n",
                            "      <th>HRV_CMSEn</th>\n",
                            "      <th>HRV_RCMSEn</th>\n",
                            "      <th>HRV_CD</th>\n",
                            "      <th>HRV_HFD</th>\n",
                            "      <th>HRV_KFD</th>\n",
                            "      <th>HRV_LZC</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>0</th>\n",
                            "      <td>86.392105</td>\n",
                            "      <td>69.475638</td>\n",
                            "      <td>4.903604</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>3.883777</td>\n",
                            "      <td>...</td>\n",
                            "      <td>1.978637</td>\n",
                            "      <td>4.256941</td>\n",
                            "      <td>1.268694</td>\n",
                            "      <td>1.404138</td>\n",
                            "      <td>1.469801</td>\n",
                            "      <td>2.57268</td>\n",
                            "      <td>1.316547</td>\n",
                            "      <td>1.846507</td>\n",
                            "      <td>2.722348</td>\n",
                            "      <td>0.873124</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "<p>1 rows × 90 columns</p>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "   ECG_Rate_Mean  HRV_MeanNN  HRV_SDNN  HRV_SDANN1  HRV_SDNNI1  HRV_SDANN2  \\\n",
                            "0      86.392105   69.475638  4.903604         NaN         NaN         NaN   \n",
                            "\n",
                            "   HRV_SDNNI2  HRV_SDANN5  HRV_SDNNI5  HRV_RMSSD  ...  HRV_SampEn  HRV_ShanEn  \\\n",
                            "0         NaN         NaN         NaN   3.883777  ...    1.978637    4.256941   \n",
                            "\n",
                            "   HRV_FuzzyEn  HRV_MSEn  HRV_CMSEn  HRV_RCMSEn    HRV_CD   HRV_HFD   HRV_KFD  \\\n",
                            "0     1.268694  1.404138   1.469801     2.57268  1.316547  1.846507  2.722348   \n",
                            "\n",
                            "    HRV_LZC  \n",
                            "0  0.873124  \n",
                            "\n",
                            "[1 rows x 90 columns]"
                        ]
                    },
                    "execution_count": 8,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "nk.ecg_intervalrelated(ecg_signals)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>RSP_Rate_Mean</th>\n",
                            "      <th>RSP_Amplitude_Mean</th>\n",
                            "      <th>RSP_Phase_Duration_Inspiration</th>\n",
                            "      <th>RSP_Phase_Duration_Expiration</th>\n",
                            "      <th>RSP_Phase_Duration_Ratio</th>\n",
                            "      <th>RRV_RMSSD</th>\n",
                            "      <th>RRV_MeanBB</th>\n",
                            "      <th>RRV_SDBB</th>\n",
                            "      <th>RRV_SDSD</th>\n",
                            "      <th>RRV_CVBB</th>\n",
                            "      <th>...</th>\n",
                            "      <th>RRV_SampEn</th>\n",
                            "      <th>RRV_DFA_alpha2</th>\n",
                            "      <th>RRV_MFDFA_alpha2_Width</th>\n",
                            "      <th>RRV_MFDFA_alpha2_Peak</th>\n",
                            "      <th>RRV_MFDFA_alpha2_Mean</th>\n",
                            "      <th>RRV_MFDFA_alpha2_Max</th>\n",
                            "      <th>RRV_MFDFA_alpha2_Delta</th>\n",
                            "      <th>RRV_MFDFA_alpha2_Asymmetry</th>\n",
                            "      <th>RRV_MFDFA_alpha2_Fluctuation</th>\n",
                            "      <th>RRV_MFDFA_alpha2_Increment</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>0</th>\n",
                            "      <td>15.860331</td>\n",
                            "      <td>0.399077</td>\n",
                            "      <td>0.152429</td>\n",
                            "      <td>0.229395</td>\n",
                            "      <td>0.664482</td>\n",
                            "      <td>134.651105</td>\n",
                            "      <td>384.039474</td>\n",
                            "      <td>102.06409</td>\n",
                            "      <td>135.551343</td>\n",
                            "      <td>0.265765</td>\n",
                            "      <td>...</td>\n",
                            "      <td>1.181133</td>\n",
                            "      <td>0.640757</td>\n",
                            "      <td>1.363461</td>\n",
                            "      <td>0.756757</td>\n",
                            "      <td>0.935103</td>\n",
                            "      <td>-0.257694</td>\n",
                            "      <td>-0.281358</td>\n",
                            "      <td>-0.369196</td>\n",
                            "      <td>0.000758</td>\n",
                            "      <td>0.093556</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "<p>1 rows × 34 columns</p>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "   RSP_Rate_Mean  RSP_Amplitude_Mean  RSP_Phase_Duration_Inspiration  \\\n",
                            "0      15.860331            0.399077                        0.152429   \n",
                            "\n",
                            "   RSP_Phase_Duration_Expiration  RSP_Phase_Duration_Ratio   RRV_RMSSD  \\\n",
                            "0                       0.229395                  0.664482  134.651105   \n",
                            "\n",
                            "   RRV_MeanBB   RRV_SDBB    RRV_SDSD  RRV_CVBB  ...  RRV_SampEn  \\\n",
                            "0  384.039474  102.06409  135.551343  0.265765  ...    1.181133   \n",
                            "\n",
                            "   RRV_DFA_alpha2  RRV_MFDFA_alpha2_Width  RRV_MFDFA_alpha2_Peak  \\\n",
                            "0        0.640757                1.363461               0.756757   \n",
                            "\n",
                            "   RRV_MFDFA_alpha2_Mean  RRV_MFDFA_alpha2_Max  RRV_MFDFA_alpha2_Delta  \\\n",
                            "0               0.935103             -0.257694               -0.281358   \n",
                            "\n",
                            "   RRV_MFDFA_alpha2_Asymmetry  RRV_MFDFA_alpha2_Fluctuation  \\\n",
                            "0                   -0.369196                      0.000758   \n",
                            "\n",
                            "   RRV_MFDFA_alpha2_Increment  \n",
                            "0                    0.093556  \n",
                            "\n",
                            "[1 rows x 34 columns]"
                        ]
                    },
                    "execution_count": 9,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "nk.rsp_intervalrelated(rsp_signals)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Optional: Segmenting the Data"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "If you want to segment your data for analysis, such as analyzing two separate portions of your resting state data, you can simply do so by splitting the `ecg_signals` dataframe into **epochs** using [epochs_create()](https://neuropsychology.github.io/NeuroKit/functions/epochs.html#epochs-create). Using this example dataset, let's say you want to analyze the first half and the second half of the ECG data. This means that each halved data would last for 60 x 2.5s = *150s*.  \n",
                "\n",
                "In this function, we would also specify the onset of events to be at the 0th (for the first half of the data) and the 15000th datapoint (for the second half of the data), since there are 30000 data points in total. "
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "metadata": {},
            "outputs": [],
            "source": [
                "# Half the data\n",
                "epochs = nk.epochs_create(ecg_signals, \n",
                "                          events=[0, 15000], \n",
                "                          sampling_rate=100, \n",
                "                          epochs_start=0, \n",
                "                          epochs_end=150)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "This returns a dictionary of 2 processed ECG dataframes, which you can then enter into `ecg_intervalrelated()`. "
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<div>\n",
                            "<style scoped>\n",
                            "    .dataframe tbody tr th:only-of-type {\n",
                            "        vertical-align: middle;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe tbody tr th {\n",
                            "        vertical-align: top;\n",
                            "    }\n",
                            "\n",
                            "    .dataframe thead th {\n",
                            "        text-align: right;\n",
                            "    }\n",
                            "</style>\n",
                            "<table border=\"1\" class=\"dataframe\">\n",
                            "  <thead>\n",
                            "    <tr style=\"text-align: right;\">\n",
                            "      <th></th>\n",
                            "      <th>Label</th>\n",
                            "      <th>ECG_Rate_Mean</th>\n",
                            "      <th>HRV_MeanNN</th>\n",
                            "      <th>HRV_SDNN</th>\n",
                            "      <th>HRV_SDANN1</th>\n",
                            "      <th>HRV_SDNNI1</th>\n",
                            "      <th>HRV_SDANN2</th>\n",
                            "      <th>HRV_SDNNI2</th>\n",
                            "      <th>HRV_SDANN5</th>\n",
                            "      <th>HRV_SDNNI5</th>\n",
                            "      <th>...</th>\n",
                            "      <th>HRV_SampEn</th>\n",
                            "      <th>HRV_ShanEn</th>\n",
                            "      <th>HRV_FuzzyEn</th>\n",
                            "      <th>HRV_MSEn</th>\n",
                            "      <th>HRV_CMSEn</th>\n",
                            "      <th>HRV_RCMSEn</th>\n",
                            "      <th>HRV_CD</th>\n",
                            "      <th>HRV_HFD</th>\n",
                            "      <th>HRV_KFD</th>\n",
                            "      <th>HRV_LZC</th>\n",
                            "    </tr>\n",
                            "  </thead>\n",
                            "  <tbody>\n",
                            "    <tr>\n",
                            "      <th>1</th>\n",
                            "      <td>1</td>\n",
                            "      <td>86.389814</td>\n",
                            "      <td>69.497674</td>\n",
                            "      <td>5.167181</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>...</td>\n",
                            "      <td>1.252763</td>\n",
                            "      <td>4.290505</td>\n",
                            "      <td>1.166763</td>\n",
                            "      <td>1.323430</td>\n",
                            "      <td>1.334030</td>\n",
                            "      <td>1.573050</td>\n",
                            "      <td>1.453026</td>\n",
                            "      <td>1.803504</td>\n",
                            "      <td>2.33683</td>\n",
                            "      <td>0.828876</td>\n",
                            "    </tr>\n",
                            "    <tr>\n",
                            "      <th>2</th>\n",
                            "      <td>2</td>\n",
                            "      <td>86.394396</td>\n",
                            "      <td>69.460465</td>\n",
                            "      <td>4.648090</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>NaN</td>\n",
                            "      <td>...</td>\n",
                            "      <td>1.881786</td>\n",
                            "      <td>4.080222</td>\n",
                            "      <td>1.347346</td>\n",
                            "      <td>1.737149</td>\n",
                            "      <td>1.497679</td>\n",
                            "      <td>1.957806</td>\n",
                            "      <td>1.306379</td>\n",
                            "      <td>1.895279</td>\n",
                            "      <td>3.09411</td>\n",
                            "      <td>0.973029</td>\n",
                            "    </tr>\n",
                            "  </tbody>\n",
                            "</table>\n",
                            "<p>2 rows × 91 columns</p>\n",
                            "</div>"
                        ],
                        "text/plain": [
                            "  Label  ECG_Rate_Mean  HRV_MeanNN  HRV_SDNN  HRV_SDANN1  HRV_SDNNI1  \\\n",
                            "1     1      86.389814   69.497674  5.167181         NaN         NaN   \n",
                            "2     2      86.394396   69.460465  4.648090         NaN         NaN   \n",
                            "\n",
                            "   HRV_SDANN2  HRV_SDNNI2  HRV_SDANN5  HRV_SDNNI5  ...  HRV_SampEn  \\\n",
                            "1         NaN         NaN         NaN         NaN  ...    1.252763   \n",
                            "2         NaN         NaN         NaN         NaN  ...    1.881786   \n",
                            "\n",
                            "   HRV_ShanEn  HRV_FuzzyEn  HRV_MSEn  HRV_CMSEn  HRV_RCMSEn    HRV_CD  \\\n",
                            "1    4.290505     1.166763  1.323430   1.334030    1.573050  1.453026   \n",
                            "2    4.080222     1.347346  1.737149   1.497679    1.957806  1.306379   \n",
                            "\n",
                            "    HRV_HFD  HRV_KFD   HRV_LZC  \n",
                            "1  1.803504  2.33683  0.828876  \n",
                            "2  1.895279  3.09411  0.973029  \n",
                            "\n",
                            "[2 rows x 91 columns]"
                        ]
                    },
                    "execution_count": 11,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "# Analyze\n",
                "nk.ecg_intervalrelated(epochs)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "This then returns a dataframe of the analyzed features, with the rows representing the respective segmented signals. Try doing this with your own signals!"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "Python 3.9.7 64-bit",
            "language": "python",
            "name": "python3"
        },
        "language_info": {
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "file_extension": ".py",
            "mimetype": "text/x-python",
            "name": "python",
            "nbconvert_exporter": "python",
            "pygments_lexer": "ipython3",
            "version": "3.9.7"
        },
        "vscode": {
            "interpreter": {
                "hash": "11938c6bc6919ae2720b4d5011047913343b08a43b18698fd82dedb0d4417594"
            }
        }
    },
    "nbformat": 4,
    "nbformat_minor": 2
}
